The impact of next-generation sequencing on genomics
Open accessAbstract
This article reviews basic concepts, general applications, and the potential impact of next-generation sequencing (NGS) technologies on genomics, with particular reference to currently available and possible future platforms and bioinformatics. NGS technologies have demonstrated the capacity to sequence DNA at unprecedented speed, thereby enabling previously unimaginable scientific achievements and novel biological applications. But, the massive data produced by NGS also presents a significant challenge for data storage, analyses, and management solutions. Advanced bioinformatic tools are essential for the successful application of NGS technology. As evidenced throughout this review, NGS technologies will have a striking impact on genomic research and the entire biological field. With its ability to tackle the unsolved challenges unconquered by previous genomic technologies, NGS is likely to unravel the complexity of the human genome in terms of genetic variations, some of which may be confined to susceptible loci for some common human conditions. The impact of NGS technologies on genomics will be far reaching and likely change the field for years to come.
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“Benchmarks comparing ELAND with other popular NGS software, such as MAQ, BLAST (Basic Local Alignment Search Tool), SOAP (Short Oligonucleotide Alignment Program) (Li et al., 2008b), and SeqMap (Jiang and Wong, 2008), etc. (Table 3), generally place ELAND as one of the fastest available programs.”
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MethodDNA sequencing of a cytogenetically normal acute myeloid leukaemia genome
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“Since then, several additional diploid human genomes have been sequenced with NGS utilizing a variety of related techniques to rapidly sequence genomes with varying degrees of coverage (Ley et al., 2008; Wang et al., 2008; Ahn et al., 2009; Kim et al., 2009; Yngvadottir et al., 2009; Metzker, 2010).”
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“The core philosophy of massive parallel sequencing used in next-generation sequencing (NGS) is adapted from shotgun sequencing (Venter et al., 2003; Margulies et al., 2005; Shendure et al., 2005).”
Exome sequencing identifies MLL2 mutations as a cause of Kabuki syndrome
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“…strategy, the mutations in DHODH from four individuals from three unrelated families with Miller syndrome have been successfully identified (Ng et al., 2010a), illustrating that selective DNA enrichment techniques will dramatically reduce overall cost and accelerate discovery of genetic…”
BackgroundHuman genetic variation and its contribution to complex traits
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BackgroundPrediction of deleterious human alleles
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“Polymorphism Phenotyping (PolyPhen) and updated PolyPhen-2 are tools which predict the possible impact of an amino acid substitution on the structure and function of a specific protein using straightforward comparative physical methods (Sunyaev et al., 2001;Ramensky et al., 2002).”
MethodNext-generation DNA sequencing techniques
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BackgroundSNP detection for massively parallel whole-genome resequencing
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BackgroundThe diploid genome sequence of an Asian individual
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BackgroundSelf-citationA survey of sequence alignment algorithms for next-generation sequencing
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“It is a challenge to efficiently align short reads to a reference genome, especially when developing new algorithms to handle ambiguities or lack of accuracy during the alignment (Li and Homer, 2010).”
BackgroundMethodNext-Generation Sequencing: From Basic Research to Diagnostics
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“Currently de novo assembly with NGS data is generally limited to microbial genome projects (Metagenomics) due to the small bacterial genome size (Chistoserdova, 2010; Wooley et al., 2010).”
BackgroundAccounting for Human Polymorphisms Predicted to Affect Protein FunctionPreprint
Ng, P. C., & Henikoff, S. (2002) · Genome Research · doi:10.1101/gr.212802 · Cited by 695 · cited 1× · see citing works
“SIFT (Sorting Intolerant From Tolerant) is used to predict whether an amino acid substitution affects protein function based on sequence homology and the physical properties of the amino acid can be applied to find non-synonymous polymorphisms within NGS data (Ng and Henikoff, 2001,2002).”
MethodCommon vs. rare allele hypotheses for complex diseases
Schork, N. J., Murray, S. S., Frazer, K. A., & Topol, E. J. (2009) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2009.04.010 · Cited by 649 · cited 9× · see citing works
“Following completion of the HGP, a new approach, genome-wide association study (GWAS), was widely applied to genomics.”
BackgroundInfluentialCloudBurst: highly sensitive read mapping with MapReduce
Schatz, M. C. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp236 · Cited by 626 · cited 1× · see citing works
“CloudBurst is another new parallel read-mapping cloud algorithm optimized for mapping NGS data to a human reference genome, SNP discovery, genotyping and personal genomics (Schatz, 2009).”
MethodEvaluation of next generation sequencing platforms for population targeted sequencing studies
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BackgroundComputational methods for discovering structural variation with next-generation sequencing
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“…detection software, which includes screening genomes for structural and single nucleotide variants and the differences between genomes (Li et al., 2009; Medvedev et al., 2009; Thusberg and Vihinen, 2009), are generally integrated with alignment and assembly processes and are listed in Table 4.”
BackgroundBioinformatics challenges of new sequencing technology
Pop, M., & Salzberg, S. L. (2008) · Trends in Genetics · doi:10.1016/j.tig.2007.12.006 · Cited by 515 · cited 1× · see citing works
“The full benefit of NGS will not be achieved until bioinformatics are able to maximally interpret and utilize these short-read sequences, including alignment, assembly, etc (Pop and Salzberg, 2008).”
BackgroundWhole-exome sequencing identifies recessive WDR62 mutations in severe brain malformations
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“Other genetic loci for rare diseases have also been successfully identified through exome sequencing (Bilguvar et al., 2010; Ng et al., 2010a,b; Rios et al., 2010; Walsh et al., 2010), further validating this strategy.”
BackgroundSearching for SNPs with cloud computing
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“CrossBow is the first cloud computing software capable of performing alignment and single nucleotide polymorphism analysis on multiple whole-human datasets (Langmead et al., 2009).”
BackgroundSeqMap: mapping massive amount of oligonucleotides to the genome
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“Benchmarks comparing ELAND with other popular NGS software, such as MAQ, BLAST (Basic Local Alignment Search Tool), SOAP (Short Oligonucleotide Alignment Program) (Li et al., 2008b), and SeqMap (Jiang and Wong, 2008), etc. (Table 3), generally place ELAND as one of the fastest available programs.”
MethodSolid-state nanopore channels with DNA selectivity
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“Nano-technologies have long been considered a cutting-edge technology for single-molecule DNA sequencing (Iqbal et al., 2007; Branton et al., 2008) and several nanopore sequencing concepts and technologies are currently under development.”
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“By considering the physiochemical variations presented in protein sequence alignment and the property of variations, Multivariate Analysis of Protein Polymorphism (MAPP) can predict the impact of all possible amino acid substitutions on the function of the protein (Stone and Sidow, 2005).”
BackgroundGenerations of sequencing technologies
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“As such, advanced single DNA molecule sequencing technology has been defined as the next-NGS technology (Pettersson et al., 2009).”
BackgroundMassively Parallel Sequencing: The Next Big Thing in Genetic Medicine
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“NGS technologies have increased the speed and throughput capacities of DNA sequencing and, as a result, dramatically reduced overall sequencing costs (Mardis, 2006, 2009; Schuster, 2008; Shendure and Ji, 2008; Ng et al., 2009a; Tucker et al., 2009; Metzker, 2010).”
BackgroundSense from sequence reads: methods for alignment and assembly
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An agenda for personalized medicine
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“NGS technologies have increased the speed and throughput capacities of DNA sequencing and, as a result, dramatically reduced overall sequencing costs (Mardis, 2006, 2009; Schuster, 2008; Shendure and Ji, 2008; Ng et al., 2009a; Tucker et al., 2009; Metzker, 2010).”
BackgroundThe first Korean genome sequence and analysis: Full genome sequencing for a socio-ethnic groupPreprint
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“Since then, several additional diploid human genomes have been sequenced with NGS utilizing a variety of related techniques to rapidly sequence genomes with varying degrees of coverage (Ley et al., 2008; Wang et al., 2008; Ahn et al., 2009; Kim et al., 2009; Yngvadottir et al., 2009; Metzker, 2010).”
BackgroundA highly annotated whole-genome sequence of a Korean individual
Kim, J.-I., Ju, Y. S., Park, H., Kim, S., Lee, S., Yi, J.-H., Mudge, J., Miller, N. A., Hong, D., Bell, C. J., et al. (2009) · Nature · doi:10.1038/nature08211 · Cited by 330 · cited 1× · see citing works
“Since then, several additional diploid human genomes have been sequenced with NGS utilizing a variety of related techniques to rapidly sequence genomes with varying degrees of coverage (Ley et al., 2008; Wang et al., 2008; Ahn et al., 2009; Kim et al., 2009; Yngvadottir et al., 2009; Metzker, 2010).”
BackgroundExome sequencing: the sweet spot before whole genomes
Teer, J. K., & Mullikin, J. C. (2010) · Human Molecular Genetics · doi:10.1093/hmg/ddq333 · Cited by 303 · cited 1× · see citing works
“Targeted sequencing generally focuses on all protein-coding subsequences (the functional exome), which only requires ~5% as much sequencing compared to that required for the entire human genome (Pussegoda, 2010; Senapathy et al., 2010; Teer and Mullikin, 2010).”
BackgroundWalsh, T., Shahin, H., Miller, T. E., Lee, M. K., Thornton, A., Roeb, W., Rayyan, A. A., Loulus, S., Avraham, K. B., King, M., et al. (2010) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2010.05.010 · Cited by 281 · cited 1× · see citing works
“Other genetic loci for rare diseases have also been successfully identified through exome sequencing (Bilguvar et al., 2010; Ng et al., 2010a,b; Rios et al., 2010; Walsh et al., 2010), further validating this strategy.”
BackgroundDe novo fragment assembly with short mate-paired reads: Does the read length matter?
Chaisson, M. J., Brinza, D., & Pevzner, P. A. (2009) · Genome Research · doi:10.1101/gr.079053.108 · Cited by 279 · cited 1× · see citing works
“The primary goal of current algorithms and computing for short-read assembly with NGS technologies is to increase read length (Chaisson et al., 2009).”
BackgroundThe challenges of sequencing by synthesis
Fuller, C. W., Middendorf, L. R., Benner, S. A., Church, G. M., Harris, T. D., Huang, X. C., Jovanovich, S. B., Nelson, J. R., Schloss, J. A., Schwartz, D. C., et al. (2009) · Nature Biotechnology · doi:10.1038/nbt.1585 · Cited by 279 · cited 1× · see citing works
“A common strategy for NGS is to use DNA synthesis or ligation process to read through many different DNA templates in parallel (Fuller et al., 2009).”
BackgroundGenome-wide association studies in pharmacogenomics
Daly, A. K. (2010) · Nature Reviews Genetics · doi:10.1038/nrg2751 · Cited by 264 · cited 2× · see citing works
“Although several early GWAS studies reported potentially promising results, the majority of GWAS studies were disappointing because of inadequate sample size, limitation of arrays for certain genetic variations, and/or heterogeneity in phenotype (Daly, 2010a).”
BackgroundFuture of Personalized Medicine in Oncology: A Systems Biology Approach
Gonzalez-Angulo, A. M., Hennessy, B. T., & Mills, G. B. (2010) · Journal of Clinical Oncology · doi:10.1200/jco.2009.27.0777 · Cited by 261 · cited 1× · see citing works
“There is no doubt that the progress of genomics will eventually lead to the birth of genetic medicine which will propel significant advances and improvements in human health (Gonzalez-Angulo et al., 2010).”
BackgroundSequence census methods for functional genomics
Wold, B. J., & Myers, R. (2007) · Nature Methods · doi:10.1038/nmeth1157 · Cited by 257 · cited 2× · see citing works
“The parallel short-read strategy of NGS opens many challenges for bioinformatics to interpret the short reads and the genetic variations in human genomes (Wold and Myers, 2008; Yang et al., 2009).”
BackgroundThusberg, J., & Vihinen, M. (2009) · Human Mutation · doi:10.1002/humu.20938 · Cited by 251 · cited 1× · see citing works
“…detection software, which includes screening genomes for structural and single nucleotide variants and the differences between genomes (Li et al., 2009; Medvedev et al., 2009; Thusberg and Vihinen, 2009), are generally integrated with alignment and assembly processes and are listed in Table 4.”
BackgroundSingle-molecule DNA sequencing technologies for future genomics research
Gupta, P. K. (2008) · Trends in biotechnology · doi:10.1016/j.tibtech.2008.07.003 · Cited by 219 · cited 1× · see citing works
“Several unique single-molecule DNA sequencing technologies are currently under development; however, little information has been made publically available (Gupta, 2008; Xu et al., 2009; Metzker, 2010; Treffer and Deckert, 2010).”
BackgroundLevin, J. Z., Berger, M. F., Adiconis, X., Rogov, P., Melnikov, A., Fennell, T., Nusbaum, C., Garraway, L. A., & Gnirke, A. (2009) · Genome biology · doi:10.1186/gb-2009-10-10-r115 · Cited by 193 · cited 1× · see citing works
“…selective DNA enrichment techniques improve the overall cost and efficiency of NGS (Rehman et al., 2010; Volpi et al., 2010; Bau et al., 2009; Levin et al., 2009; Ng et al., 2009b; Ng and Kirkness, 2010); however, targeted enrichment must maintain uniform coverage, high reproducibility, and…”
BackgroundRehman, A. U., Morell, R. J., Belyantseva, I. A., Khan, S. Y., Boger, E. T., Shahzad, M., Ahmed, Z. M., Riazuddin, S., Khan, S. N., Riazuddin, S. A., et al. (2010) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2010.01.030 · Cited by 192 · cited 1× · see citing works
“By targeting specific regions of interest, selective DNA enrichment techniques improve the overall cost and efficiency of NGS (Rehman et al., 2010; Volpi et al., 2010; Bau et al., 2009; Levin et al., 2009; Ng et al., 2009b; Ng and Kirkness, 2010); however, targeted enrichment must maintain uniform…”
BackgroundAnticipating the 1,000 dollar genome.
Mardis, E. R. (2006) · Genome biology · doi:10.1186/gb-2006-7-7-112 · Cited by 175 · cited 2× · see citing works
“NGS technologies have increased the speed and throughput capacities of DNA sequencing and, as a result, dramatically reduced overall sequencing costs (Mardis, 2006, 2009; Schuster, 2008; Shendure and Ji, 2008; Ng et al., 2009a; Tucker et al., 2009; Metzker, 2010).”
BackgroundNext-Generation Sequencing: The Race Is On
von Bubnoff, A. (2008) · Cell · doi:10.1016/j.cell.2008.02.028 · Cited by 168 · cited 1× · see citing works
“…1000 genome project the cost of sequencing an individual genome has been rapidly decreasing and will likely reach $1000 per person within a short period of time (von Bubnoff, 2008), making personalized medicine become a possible reality (Lunshof et al., 2010; Mardis, 2006; Harismendy et al., 2009).”
BackgroundRios, J. J., Stein, E. A., Shendure, J., Hobbs, H. H., & Cohen, J. C. (2010) · Human Molecular Genetics · doi:10.1093/hmg/ddq352 · Cited by 164 · cited 1× · see citing works
“Other genetic loci for rare diseases have also been successfully identified through exome sequencing (Bilguvar et al., 2010; Ng et al., 2010a,b; Rios et al., 2010; Walsh et al., 2010), further validating this strategy.”
BackgroundVolpi, L., Roversi, G., Colombo, E. A., Leijsten, N., Concolino, D., Calabria, A., Mencarelli, M. A., Fimiani, M., Macciardi, F. M., Pfundt, R., et al. (2009) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2009.11.014 · Cited by 147 · cited 1× · see citing works
“By targeting specific regions of interest, selective DNA enrichment techniques improve the overall cost and efficiency of NGS (Rehman et al., 2010; Volpi et al., 2010; Bau et al., 2009; Levin et al., 2009; Ng et al., 2009b; Ng and Kirkness, 2010); however, targeted enrichment must maintain uniform…”
BackgroundExploring research frontiers in microbiology: the challenge of metagenomics in soil microbiology
Mocali, S., & Benedetti, A. (2010) · Research in Microbiology · doi:10.1016/j.resmic.2010.04.010 · Cited by 142 · cited 1× · see citing works
“At 600 bp, the 454 Sequencer has the longest short reads among all the NGS platforms; and generates ~400–600 Mb of sequence reads per run; critical for some applications such as RNA isoform identification in RNA-seq and de novo assembly of microbes in metagenomics (Mocali and Benedetti, 2010).”
BackgroundMcPherson, J. D. (2009) · Nature Methods · doi:10.1038/nmeth.f.268 · Cited by 130 · cited 1× · see citing works
“Efforts to date have focused on overcoming the limitation of short reads for genome-wide analysis, but unfortunately, current available bioinformatics ability and computing power is lagging far behind the needs for NGS sequencing data analysis (McPherson, 2009).”
BackgroundEagleView: A genome assembly viewer for next-generation sequencing technologiesPreprint
Huang, W., & Marth, G. (2008) · Genome Research · doi:10.1101/gr.076067.108 · Cited by 125 · cited 1× · see citing works
“Some online utility programs, such as EagleView (Huang and Marth, 2008) or LookSeq (Manske and Kwiatkowski, 2009), also provide some additional assistance on NGS data analysis and interpretation (Table 3).”
MethodPerspectives and Challenges of Emerging Single‐Molecule DNA Sequencing Technologies
Xu, M., Fujita, D., & Hanagata, N. (2009) · Small · doi:10.1002/smll.200900976 · Cited by 109 · cited 1× · see citing works
“Several unique single-molecule DNA sequencing technologies are currently under development; however, little information has been made publically available (Gupta, 2008; Xu et al., 2009; Metzker, 2010; Treffer and Deckert, 2010).”
BackgroundEnrichment of sequencing targets from the human genome by solution hybridization
Tewhey, R., Nakano, M., Wang, X., Pabón-Peña, C., Novak, B. A., Giuffre, A. C., Lin, E., Happe, S., Roberts, D. N., LeProust, E. M., et al. (2009) · Genome biology · doi:10.1186/gb-2009-10-10-r116 · Cited by 109 · cited 1× · see citing works
“The most common techniques for targeted sequence enrichment are either microarray-based (Summerer et al., 2009, 2010; Zheng et al., 2009; Igartua et al., 2010) or solution hybrid-based (Gnirke et al., 2009; Tewhey et al., 2009; Bainbridge et al., 2010).”
MethodPharmacogenetics and human genetic polymorphisms
Daly, A. K. (2010) · Biochemical Journal · doi:10.1042/bj20100522 · Cited by 103 · cited 2× · see citing works
“Although several early GWAS studies reported potentially promising results, the majority of GWAS studies were disappointing because of inadequate sample size, limitation of arrays for certain genetic variations, and/or heterogeneity in phenotype (Daly, 2010a).”
BackgroundHolmes, M. V., Shah, T., Vickery, C., Smeeth, L. L., Hingorani, A. D., & Casas, J. P. (2009) · PLoS ONE · doi:10.1371/journal.pone.0007960 · Cited by 103 · cited 1× · see citing works
“In genomics, the personal genome era made available by NGS technologies will mark a significant milestone in entire genomic research field in the foreseeable future (Zhang and Dolan, 2010; Holmes et al., 2009).”
BackgroundRecent progress and new challenges in metagenomics for biotechnology
Chistoserdova, L. (2010) · Biotechnology Letters · doi:10.1007/s10529-010-0306-9 · Cited by 101 · cited 1× · see citing works
“Currently de novo assembly with NGS data is generally limited to microbial genome projects (Metagenomics) due to the small bacterial genome size (Chistoserdova, 2010; Wooley et al., 2010).”
BackgroundPersonal genomes in progress: from the Human Genome Project to the Personal Genome Project
Lunshof, J. E., Bobe, J. R., Aach, J., Angrist, M. H., Thakuria, J. V., Vorhaus, D. B., Hoehe, M. R., & Church, G. M. (2010) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2010.12.1/jlunshof · Cited by 90 · cited 1× · see citing works
“…1000 genome project the cost of sequencing an individual genome has been rapidly decreasing and will likely reach $1000 per person within a short period of time (von Bubnoff, 2008), making personalized medicine become a possible reality (Lunshof et al., 2010; Mardis, 2006; Harismendy et al., 2009).”
Towards a complete resolution of the genetic architecture of disease
Singleton, A., Hardy, J., Traynor, B. J., & Houlden, H. (2010) · Trends in Genetics · doi:10.1016/j.tig.2010.07.004 · Cited by 85 · cited 1× · see citing works
“…of heritability, indicating that GWAS based on the “common disease-common variants hypothesis” is not very effective in identifying genetic variants for complex traits, and common genetic variability is unlikely to explain the entire genetic predisposition to disease (Singleton et al., 2010).”
BackgroundMardis, E. R. (2009) · Genome Medicine · doi:10.1186/gm40 · Cited by 84 · cited 1× · see citing works
“NGS technologies have increased the speed and throughput capacities of DNA sequencing and, as a result, dramatically reduced overall sequencing costs (Mardis, 2006, 2009; Schuster, 2008; Shendure and Ji, 2008; Ng et al., 2009a; Tucker et al., 2009; Metzker, 2010).”
BackgroundGenetics of neurodegenerative diseases: insights from high-throughput resequencing
Tsuji, S. (2010) · Human Molecular Genetics · doi:10.1093/hmg/ddq162 · Cited by 80 · cited 1× · see citing works
“Such rare variants may have a large effect as genetic risk factors for complex genetic diseases (Frazer et al., 2009; Manolio et al., 2009; Schork et al., 2009; Tsuji, 2010).”
BackgroundGenome resequencing and genetic variation
Stratton, M. (2008) · Nature Biotechnology · doi:10.1038/nbt0108-65 · Cited by 72 · cited 1× · see citing works
“…overall cost and efficiency of NGS (Rehman et al., 2010; Volpi et al., 2010; Bau et al., 2009; Levin et al., 2009; Ng et al., 2009b; Ng and Kirkness, 2010); however, targeted enrichment must maintain uniform coverage, high reproducibility, and no allele bias for any genomic region (Stratton, 2008).”
BackgroundRecent advances in single-molecule sequencing
Treffer, R., & Deckert, V. (2010) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2010.02.009 · Cited by 65 · cited 1× · see citing works
“Several unique single-molecule DNA sequencing technologies are currently under development; however, little information has been made publically available (Gupta, 2008; Xu et al., 2009; Metzker, 2010; Treffer and Deckert, 2010).”
BackgroundLookSeq: A browser-based viewer for deep sequencing dataPreprint
Manske, M., & Kwiatkowski, D. P. (2009) · Genome Research · doi:10.1101/gr.093443.109 · Cited by 65 · cited 1× · see citing works
“Some online utility programs, such as EagleView (Huang and Marth, 2008) or LookSeq (Manske and Kwiatkowski, 2009), also provide some additional assistance on NGS data analysis and interpretation (Table 3).”
MethodBau, S., Schracke, N., Kränzle, M., Wu, H., Stähler, P. F., Hoheisel, J. D., Beier, M., & Summerer, D. (2008) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-008-2460-7 · Cited by 59 · cited 1× · see citing works
“…regions of interest, selective DNA enrichment techniques improve the overall cost and efficiency of NGS (Rehman et al., 2010; Volpi et al., 2010; Bau et al., 2009; Levin et al., 2009; Ng et al., 2009b; Ng and Kirkness, 2010); however, targeted enrichment must maintain uniform coverage, high…”
BackgroundMassive parallelism, randomness and genomic advances
Venter, J. C., Levy, S., Stockwell, T., Remington, K., & Halpern, A. L. (2003) · Nature Genetics · doi:10.1038/ng1114 · Cited by 58 · cited 1× · see citing works
“The core philosophy of massive parallel sequencing used in next-generation sequencing (NGS) is adapted from shotgun sequencing (Venter et al., 2003; Margulies et al., 2005; Shendure et al., 2005).”
Yang, M. Q., Athey, B. D., Arabnia, H. R., Sung, A. H., Liu, Q., Yang, J. Y., Mao, J., & Deng, Y. (2009) · BMC Genomics · doi:10.1186/1471-2164-10-s1-i1 · Cited by 57 · cited 1× · see citing works
“The parallel short-read strategy of NGS opens many challenges for bioinformatics to interpret the short reads and the genetic variations in human genomes (Wold and Myers, 2008; Yang et al., 2009).”
BackgroundMicroarray-based multicycle-enrichment of genomic subsets for targeted next-generation sequencingPreprint
Summerer, D., Wu, H., Haase, B., Cheng, Y., Schracke, N., Stähler, C., Chee, M. S., Stähler, P. F., & Beier, M. (2009) · Genome Research · doi:10.1101/gr.091942.109 · Cited by 52 · cited 1× · see citing works
“The most common techniques for targeted sequence enrichment are either microarray-based (Summerer et al., 2009, 2010; Zheng et al., 2009; Igartua et al., 2010) or solution hybrid-based (Gnirke et al., 2009; Tewhey et al., 2009; Bainbridge et al., 2010).”
MethodThe promise and reality of personal genomics
Yngvadóttir, B., MacArthur, D. G., Jin, H., & Tyler‐Smith, C. (2009) · Genome biology · doi:10.1186/gb-2009-10-9-237 · Cited by 49 · cited 1× · see citing works
“Since then, several additional diploid human genomes have been sequenced with NGS utilizing a variety of related techniques to rapidly sequence genomes with varying degrees of coverage (Ley et al., 2008; Wang et al., 2008; Ahn et al., 2009; Kim et al., 2009; Yngvadottir et al., 2009; Metzker, 2010).”
BackgroundToward a complete map of the human genome
McKusick, V. A., & Ruddle, F. H. (1987) · Genomics · doi:10.1016/0888-7543(87)90001-2 · Cited by 46 · cited 1× · see citing works
“The term “genomics” was used as the name of the first journal in the field of genomics (McKusick and Ruddle, 1987).”
MethodImpact of the 1000 Genomes Project on the Next Wave of Pharmacogenomic Discovery
Zhang, W., & Dolan, M. E. (2010) · Pharmacogenomics · doi:10.2217/pgs.09.173 · Cited by 43 · cited 1× · see citing works
“In genomics, the personal genome era made available by NGS technologies will mark a significant milestone in entire genomic research field in the foreseeable future (Zhang and Dolan, 2010; Holmes et al., 2009).”
BackgroundNakken, S., Alseth, I., & Rognes, T. (2006) · Neuroscience · doi:10.1016/j.neuroscience.2006.09.004 · Cited by 42 · cited 1× · see citing works
“It is challenging to develop software with the ability to distinguish low-frequency alleles descendent from ancient ancestors from de novo or extremely rare mutations recently introduced into the population (Nakken et al., 2007; van Oeveren and Janssen, 2009).”
BackgroundSummerer, D., Schracke, N., Wu, H., Cheng, Y., Bau, S., Stähler, C., Stähler, P. F., & Beier, M. (2010) · Genomics · doi:10.1016/j.ygeno.2010.01.006 · Cited by 34 · cited 1× · see citing works
“The most common techniques for targeted sequence enrichment are either microarray-based (Summerer et al., 2009, 2010; Zheng et al., 2009; Igartua et al., 2010) or solution hybrid-based (Gnirke et al., 2009; Tewhey et al., 2009; Bainbridge et al., 2010).”
MethodWhole exome capture in solution with 3 Gbp of data
Bainbridge, M., Wang, M., Burgess, D. L., Kovar, C., Rodesch, M., D'Ascenzo, M. D., Kitzman, J., Wu, Y.-Q., Newsham, I., Richmond, T., et al. (2010) · Genome Biology · doi:10.1186/gb-2010-11-6-r62 · Cited by 30 · see citing works
Mining SNPs from DNA Sequence Data; Computational Approaches to SNP Discovery and Analysis
van Oeveren, J., & Janssen, A. (2009) · Methods in molecular biology · doi:10.1007/978-1-60327-411-1_4 · Cited by 21 · cited 1× · see citing works
“It is challenging to develop software with the ability to distinguish low-frequency alleles descendent from ancient ancestors from de novo or extremely rare mutations recently introduced into the population (Nakken et al., 2007; van Oeveren and Janssen, 2009).”
BackgroundHigh-throughput, high-accuracy array-based resequencing
Zheng, J., Moorhead, M., Weng, L., Siddiqui, F. A., Carlton, V. E. H., Ireland, J. S., Lee, L., Peterson, J., Wilkins, J., Lin, S., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0901902106 · Cited by 20 · cited 2× · see citing works
“The most common techniques for targeted sequence enrichment are either microarray-based (Summerer et al., 2009, 2010; Zheng et al., 2009; Igartua et al., 2010) or solution hybrid-based (Gnirke et al., 2009; Tewhey et al., 2009; Bainbridge et al., 2010).”
MethodRole of genomics in cardiovascular medicine.
Novelli, G., Predazzi, I., Mango, R., Romeo, F., & Mehta, J. (2010) · World Journal of Cardiology · doi:10.4330/wjc.v2.i12.428 · Cited by 19 · cited 1× · see citing works
“New genomic technologies have revolutionized our understanding of many genes or genomic regions involved in the pathogenesis of human diseases (Novelli et al., 2010).”
BackgroundTargeted Enrichment of Specific Regions in the Human Genome by Array Hybridization
Igartua, C., Turner, E. H., Ng, S. B. H., Hodges, E. C., Hannon, G. J., Bhattacharjee, A., Rieder, M. J., Nickerson, D. A., & Shendure, J. (2010) · Current Protocols in Human Genetics · doi:10.1002/0471142905.hg1803s66 · Cited by 18 · cited 1× · see citing works
“The most common techniques for targeted sequence enrichment are either microarray-based (Summerer et al., 2009, 2010; Zheng et al., 2009; Igartua et al., 2010) or solution hybrid-based (Gnirke et al., 2009; Tewhey et al., 2009; Bainbridge et al., 2010).”
MethodTargeted Genome-Wide Enrichment of Functional Regions
Senapathy, P., Bhasi, A., Mattox, J., Dhandapany, P. S., & Sadayappan, S. (2010) · PLoS ONE · doi:10.1371/journal.pone.0011138 · Cited by 15 · cited 1× · see citing works
“Targeted sequencing generally focuses on all protein-coding subsequences (the functional exome), which only requires ~5% as much sequencing compared to that required for the entire human genome (Pussegoda, 2010; Senapathy et al., 2010; Teer and Mullikin, 2010).”
BackgroundGathering clouds and a sequencing storm
(2010) · Nature Biotechnology · doi:10.1038/nbt0110-1 · Cited by 10 · see citing works
Exome sequencing: locating causative genes in rare disorders
Pussegoda, K. (2010) · Clinical Genetics · doi:10.1111/j.1399-0004.2010.01414_1.x · Cited by 7 · cited 1× · see citing works
“Targeted sequencing generally focuses on all protein-coding subsequences (the functional exome), which only requires ~5% as much sequencing compared to that required for the entire human genome (Pussegoda, 2010; Senapathy et al., 2010; Teer and Mullikin, 2010).”
Background
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Nucleic acid-based approaches to investigate microbial-related cheese quality defects
O'Sullivan, D. J., Giblin, L. M., McSweeney, P. L. H., Sheehan, J. J., & Cotter, P. D. (2013) · Frontiers in Microbiology · doi:10.3389/fmicb.2013.00001 · Cited by 1,423 · see citing works
Next‐generation sequencing technologies for environmental DNA research
Shokralla, S., Spall, J. L., Gibson, J. F., & Hajibabaei, M. (2012) · Molecular Ecology · doi:10.1111/j.1365-294x.2012.05538.x · Cited by 939 · see citing works
“Although available NGS technologies utilize quite diverse chemistry and base incorporation ⁄ detection tools, they share two main steps: library fragmentation ⁄ amplicon library preparation and detection of the incorporated nucleotides (Glenn 2011; Zhang et al. 2011).”
BackgroundReactome pathway analysis: a high-performance in-memory approach
Fabregat, A., Sidiropoulos, K., Viteri, G., Forner, O., Marín-García, P., Arnau, V., D’Eustachio, P., Stein, L. D., & Hermjakob, H. (2017) · BMC Bioinformatics · doi:10.1186/s12859-017-1559-2 · Cited by 859 · see citing works
“Since the size of the data samples is constantly increasing [2, 3], Reactome offers a set of pathway analysis tools which aim to deal with this scenario and yet provide reliable and accurate results with interactive (seconds) response time for genome-wide datasets.”
BackgroundZhang, G., Liu, X., Quan, Z., Cheng, S., Xu, X., Pan, S., Xie, M., Zeng, P., Yue, Z., Wang, W., et al. (2012) · Nature Biotechnology · doi:10.1038/nbt.2195 · Cited by 789 · see citing works
Self-citationDual RNA-seq of pathogen and host
Westermann, A. J., Gorski, S. A., & Vogel, J. (2012) · Nature Reviews Microbiology · doi:10.1038/nrmicro2852 · Cited by 754 · see citing works
A spectral approach integrating functional genomic annotations for coding and noncoding variants
Ionita‐Laza, I., McCallum, K., Xu, B., & Buxbaum, J. D. (2016) · Nature Genetics · doi:10.1038/ng.3477 · Cited by 588 · see citing works
“The tremendous progress in massively parallel sequencing technologies enables investigators to efficiently obtain genetic information down to single base resolution on a genome-wide scale [1, 2, 3].”
BackgroundTranscriptome analysis using next-generation sequencing.
Mutz, K., Heilkenbrinker, A., Lönne, M., Walter, J., & Stahl, F. (2013) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2012.09.004 · Cited by 481 · see citing works
Big Data Application in Biomedical Research and Health Care: A Literature Review
Luo, J., Wu, M., Gopukumar, D., & Zhao, Y. (2016) · Biomedical Informatics Insights · doi:10.4137/bii.s31559 · Cited by 526 · see citing works
“The agent is able to (1) provide an interface for DICOM, HL7, HTTP, and XDS standard and nonstandardized data; (2) synchronize metadata on local PACS and RIS; (3) cache images and data received from local PACS, RIS, any input tool, or another agent; (4) archive image data with compression and multitier storage, backup…”
BackgroundMicroparticles: major transport vehicles for distinct microRNAs in circulation
Diehl, P., Fricke, A., Sander, L., Stamm, J., Bassler, N., Htun, N., Ziemann, M., Helbing, T., El‐Osta, A., Jowett, J. B. M., et al. (2012) · Cardiovascular Research · doi:10.1093/cvr/cvs007 · Cited by 467 · see citing works
“NGS is a promising method for miRNA studies as it has major advantages in comparison to microarrays, including higher sensitivity, wider miRNA spectrum that can be analysed and the ability of de novo sequencing of so far unknown miRNAs.(22,23) We could demonstrate that MP contain a significantly distinct miRNA pattern…”
Assuring the quality of next-generation sequencing in clinical laboratory practice
Gargis, A. S., Kalman, L. V., Berry, M. W., Bick, D. P., Dimmock, D., Hambuch, T. M., Lu, F., Lyon, E., Voelkerding, K. V., Zehnbauer, B. A., et al. (2012) · Nature Biotechnology · doi:10.1038/nbt.2403 · Cited by 458 · see citing works
Using Genomics to Track Global Antimicrobial Resistance
Hendriksen, R. S., Bortolaia, V., Tate, H. P., Tyson, G. H., Aarestrup, F. M., & McDermott, P. F. (2019) · Frontiers in Public Health · doi:10.3389/fpubh.2019.00242 · Cited by 445 · see citing works
Malla, M. A., Dubey, A., Kumar, A., Yadav, S., Hashem, A., & Allah, E. F. A. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2018.02868 · Cited by 350 · see citing works
Allali, I., Arnold, J. W., Roach, J., Cadenas, M. B., Butz, N., Hassan, H. M., Koci, M., Ballou, A., Mendoza, M., Ali, R., et al. (2017) · BMC Microbiology · doi:10.1186/s12866-017-1101-8 · Cited by 298 · see citing works
Diversity and Plasticity of Sex Determination and Differentiation in Fishes
Kobayashi, Y., Nagahama, Y., & Nakamura, M. (2012) · Sexual Development · doi:10.1159/000342009 · Cited by 293 · see citing works
“Recently, access to detailed genomic information of animals by using next-generation sequencing has become easier [Zhang et al., 2011].”
BackgroundApplication of Whole-Genome Sequencing for Bacterial Strain Typing in Molecular Epidemiology
Salipante, S. J., SenGupta, D. J., Cummings, L. A., Land, T. A., Hoogestraat, D. R., & Cookson, B. T. (2015) · Journal of Clinical Microbiology · doi:10.1128/jcm.03385-14 · Cited by 292 · see citing works
Analysis of plant microbe interactions in the era of next generation sequencing technologies
Knief, C. (2014) · Frontiers in Plant Science · doi:10.3389/fpls.2014.00216 · Cited by 252 · see citing works
“A detailed description of second generation sequencing platforms and principles can be found in dedicated reviews (e.g., Voelkerding et al., 2009; Metzker, 2010; Glenn, 2011; Pareek et al., 2011; Zhang et al., 2011; Liu et al., 2012; Shokralla et al., 2012; Mardis, 2013; Morey et al., 2013).”
BackgroundAspergillus derived mycotoxins in food and the environment: Prevalence, detection, and toxicity
Navale, V. D., Vamkudoth, K. R., Ajmera, S., & Dhuri, V. C. (2021) · Toxicology Reports · doi:10.1016/j.toxrep.2021.04.013 · Cited by 235 · see citing works
Next Generation Sequencing Technologies: The Doorway to the Unexplored Genomics of Non-Model Plants
Unamba, C. I. N., Nag, A., & Sharma, R. K. (2015) · Frontiers in Plant Science · doi:10.3389/fpls.2015.01074 · Cited by 236 · see citing works
Unraveling plant–microbe interactions: can multi-species transcriptomics help?
Schenk, P. M., Carvalhais, L. C., & Kazan, K. (2011) · Trends in biotechnology · doi:10.1016/j.tibtech.2011.11.002 · Cited by 224 · see citing works
Sicilia, C. B., Silvestre, S., Haslam, R. P., & Michaelson, L. V. (2017) · Plant Science · doi:10.1016/j.plantsci.2017.07.017 · Cited by 224 · see citing works
Massively parallel sequencing techniques for forensics: A review
Bruijns, B., Tiggelaar, R. M., & Gardeniers, H. J. G. E. (2018) · Electrophoresis · doi:10.1002/elps.201800082 · Cited by 204 · see citing works
SUPER-FOCUS: a tool for agile functional analysis of shotgun metagenomic data
Silva, G. G. Z., Green, K. T., Dutilh, B. E., & Edwards, R. A. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv584 · Cited by 192 · see citing works
“Here, we introduce SUPER-FOCUS, SUbsystems Profile by databasE Reduction using FOCUS, an agile homology-based approach using a reduced reference database to report the subsystems present in metagenomic datasets and profile their abundances.”
MethodDeePromoter: Robust Promoter Predictor Using Deep Learning
Oubounyt, M., Louadi, Z., Tayara, H., & Chong, K. T. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.00286 · Cited by 192 · see citing works
“Recently, with the development of the next-generation sequencing (NGS) (Behjati and Tarpey, 2013) more genes of different organisms have been sequenced and their gene elements have been computationally explored (Zhang et al., 2011).”
BackgroundMicrobial Biodiversity and Bioremediation Assessment Through Omics Approaches
Chandran, H., Meena, M., & Sharma, K. (2020) · Frontiers in Environmental Chemistry · doi:10.3389/fenvc.2020.570326 · Cited by 188 · see citing works
“It produces a massively parallel analysis from multiple samples where small sections of DNA are ligated with adaptors for random reads during DNA amplification which provides enormous data within a short duration (Zhang et al., 2011).”
BackgroundA post-assembly genome-improvement toolkit (PAGIT) to obtain annotated genomes from contigs
Swain, M., Tsai, I. J., Assefa, S. A., Newbold, C., Berriman, M., & Otto, T. D. (2012) · Nature Protocols · doi:10.1038/nprot.2012.068 · Cited by 183 · see citing works
“Furthermore, the types of error can be influenced by the characteristics of different sequencing technologies 7,8 .”
BackgroundBioinformatics for Clinical Next Generation Sequencing
Oliver, G. R., Hart, S. N., & Klee, E. W. (2014) · Clinical Chemistry · doi:10.1373/clinchem.2014.224360 · Cited by 176 · see citing works
Next-generation sequencing technology in clinical virology
Capobianchi, M. R., Giombini, E., & Rozera, G. (2012) · Clinical Microbiology and Infection · doi:10.1111/1469-0691.12056 · Cited by 164 · see citing works
“The continuous and dynamic development of NGS represents an unprecedented opportunity for metagenomic applications, and is expanding our capacity to analyse microbial communities from a variety of habitats and environments [3,11].”
BackgroundPlant pathogen nanodiagnostic techniques: forthcoming changes?
Khiyami, M. A., Almoammar, H., Awad, Y. M., Alghuthaymi, M. A., & Abd-Elsalam, K. A. (2014) · Biotechnology & Biotechnological Equipment · doi:10.1080/13102818.2014.960739 · Cited by 159 · see citing works
Whole exome and whole genome sequencing
Bick, D. P., & Dimmock, D. (2011) · Current Opinion in Pediatrics · doi:10.1097/mop.0b013e32834b20ec · Cited by 150 · see citing works
Comparative Pathogenomics of Bacteria Causing Infectious Diseases in Fish
Sudheesh, P. S., Aliya, A.-G., Al‐Mazrooei, N., & Al-Habsi, S. (2012) · International Journal of Evolutionary Biology · doi:10.1155/2012/457264 · Cited by 151 · see citing works
“The microbial genomics today has progressed from the long drawnout individual genome sequencing projects in the past to a level of technological advancement, where sequencing and comparing the genomes of several strains of a single pathogen is accomplished in a very short period of time [1, 2].”
BackgroundlncRNome: a comprehensive knowledgebase of human long noncoding RNAs
Bhartiya, D., Pal, K., Ghosh, S., Kapoor, S. S., Jalali, S., Panwar, B., Jain, S., Sati, S., Sengupta, S., Sachidanandan, C., et al. (2013) · Database · doi:10.1093/database/bat034 · Cited by 149 · see citing works
Hampel, H., O’Bryant, S. E., Durrleman, S., Younesi, E., Rojkova, K., Escott-Price, V., Corvol, J.-C., Broich, K., Dubois, B., Lista, S., et al. (2017) · Climacteric · doi:10.1080/13697137.2017.1287866 · Cited by 147 · see citing works
Hatherell, H.-A., Colijn, C., Stagg, H. R., Jackson, C., Winter, J. R., & Abubakar, I. (2016) · BMC Medicine · doi:10.1186/s12916-016-0566-x · Cited by 141 · see citing works
“The appropriate value for a SNP threshold is context-specific and will be affected by study-specific factors such as strain diversity in the setting [31, 43] , the definition of a quality read, the extent of within-host diversity [15, 22, 25, 31, 38] and the number of amplification steps [1, [44] [45] [46] [47] (Addit…”
BackgroundWang, B., Kumar, V., Olson, A. J., & Ware, D. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.00384 · Cited by 142 · see citing works
“One of the most important applications of NGS is to identify mutations, including single nucleotide polymorphisms (SNP), small insertions/deletions (INDELs), structural variations, e.g., translocations, inversions, and copy number variations (CNV) (Zhang et al., 2011; Bahassi el and Stambrook, 2014; Wadapurkar and Vya…”
BackgroundAdvances in monitoring soil microbial community dynamic and function
Nkongolo, K. K. C., & Narendrula-Kotha, R. (2020) · Journal of Applied Genetics · doi:10.1007/s13353-020-00549-5 · Cited by 140 · see citing works
“This platform generates the best data quality as a result of its sequencing-by-ligation approach (Zhang et al. 2011).”
BackgroundComprehensive genome analysis and variant detection at scale using DRAGEN
Behera, S., Catreux, S., Rossi, M., Truong, S., Huang, Z., Ruehle, M., Visvanath, A., Parnaby, G., Roddey, C., Onuchic, V., et al. (2025) · Nature Biotechnology · doi:10.1038/s41587-024-02382-1 · Cited by 137 · see citing works
Tierney, L., Linde, J., Müller, S., Brunke, S., Molina, J. C., Hube, B., Schöck, U., Guthke, R., & Kuchler, K. (2012) · Frontiers in Microbiology · doi:10.3389/fmicb.2012.00085 · Cited by 128 · see citing works
“These technologies now allow for the parallel sequencing of millions of nucleotide sequences simultaneously (Wang et al., 2009; Zhang et al., 2011).”
BackgroundThe Parasitic Plant Genome Project: New Tools for Understanding the Biology ofOrobancheandStriga
Westwood, J. H., dePamphilis, C. W., Das, M., Fernández‐Aparicio, M., Honaas, L. A., Timko, M. P., Wafula, E. K., Wickett, N. J., & Yoder, J. I. (2012) · Weed Science · doi:10.1614/ws-d-11-00113.1 · Cited by 120 · see citing works
“Transcriptome sequencing was conducted using a combination of 454 and Illumina technologies (Zhang et al. 2011).”
MethodDeep sequencing of phage display libraries to support antibody discovery
Ravn, U., Didelot, G., Venet, S., Ng, K.-T., Gueneau, F., Rousseau, F., Calloud, S., Kosco‐Vilbois, M. H., & Fischer, N. (2013) · Methods · doi:10.1016/j.ymeth.2013.03.001 · Cited by 115 · see citing works
Cheng, L., Quek, C. Y. J., Sun, X., Bellingham, S. A., & Hill, A. F. (2013) · Frontiers in Genetics · doi:10.3389/fgene.2013.00150 · Cited by 112 · see citing works
Fungal Adaptation to Extremely High Salt Concentrations
Gostinčar, C., Lenassi, M., Gunde‐Cimerman, N., & Plemenitaš, A. (2011) · Advances in applied microbiology · doi:10.1016/b978-0-12-387044-5.00003-0 · Cited by 113 · see citing works
Lin, X., Tang, W., Ahmad, S., Lü, J., Colby, C. C., Zhu, J., & Yu, Q. (2012) · Hearing Research · doi:10.1016/j.heares.2012.01.004 · Cited by 108 · see citing works
“, Illumina’s HiSeq200 V3 chemistry kit) (Clark et al., 2011; Zhang et al., 2011).”
BackgroundGlobal gene expression of the inner cell mass and trophectoderm of the bovine blastocyst
Ozawa, M., Sakatani, M., Yao, J., Shanker, S., Yu, F., Yamashita, R., Wakabayashi, S., Nakai, K., Dobbs, K. B., Sudano, M. J., et al. (2012) · BMC Developmental Biology · doi:10.1186/1471-213x-12-33 · Cited by 108 · see citing works
“Raw sequencing reads were initially processed with GenomeQuest tools [12].”
MethodCharacterizing genic and nongenic molecular markers: comparison of microsatellites and SNP s
DeFaveri, J., Viitaniemi, H. M., Leder, E. H., & Merilä, J. (2013) · Molecular Ecology Resources · doi:10.1111/1755-0998.12071 · Cited by 105 · see citing works
“Aside from sequencing entire genomes—an approach that is becoming increasingly feasible (Allendorf et al. 2010; Seeb et al. 2011; Zhang et al. 2011)—the use of DNA markers to amplify random genomic regions remains the most accessible and widely used method of elucidating the distribution of genetic…”
MethodThe JAK/STAT signaling cascade in gastric carcinoma (Review)
Khanna, P., Chua, P. J., Bay, B., & Baeg, G. H. (2015) · International Journal of Oncology · doi:10.3892/ijo.2015.3160 · Cited by 106 · see citing works
“Advancement in molecular profiling technologies have enabled rapid whole genome sequencing, with better resolution that provides researchers the opportunity to scan for known genomic mutations, as well as identify novel genomic aberrations specific to different subsets of gastric carcinoma patients (26-28).”
BackgroundMattarelli, P., Holzapfel, W. H., Franz, C. M. A. P., Endo, A., Felis, G. E., Hammes, W. P., Pot, B., Dicks, L. M. T., & Dellaglio, F. (2014) · INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY · doi:10.1099/ijs.0.060046-0 · Cited by 104 · see citing works
“They divided the LAB species into two groups, where group I included the families Enterococcaceae and Streptococcaceae; within this group the monophyly of the genera Enterococcus, Lactococcus and Streptococcus were strongly supported (Zhang et al., 2011).”
BackgroundGenetic Diversity, QTL Mapping, and Marker-Assisted Selection Technology in Cotton (Gossypium spp.)
Kushanov, F. N., Turaev, O. S., Ernazarova, D. K., Mamatqulovich, G. B., Oripova, B. B., Kudratova, M. K., Rafieva, F. U., Khalikov, K. K., Erjigitov, D. S., Khidirov, M. T., et al. (2021) · Frontiers in Plant Science · doi:10.3389/fpls.2021.779386 · Cited by 105 · see citing works
“(2014), new introgression lines with high yields and fiber quality were developed as a result of interspecific hybridization between G. hirsutum and G. barbadense (Zhang, 2011).”
BackgroundGenomic toolboxes for conservation biologists
Angeloni, F., Wagemaker, C. A. M., Vergeer, P., & Ouborg, J. (2011) · Evolutionary Applications · doi:10.1111/j.1752-4571.2011.00217.x · Cited by 103 · see citing works
“007, Helicos Heliscope, and the system of Pacific Biosystems (reviewed by Metzker 2010; Zhang et al. 2011).”
BackgroundMethodInfluentialExtracellular vesicle long noncoding RNA as potential biomarkers of liver cancer
Mohankumar, S., & Patel, T. C. (2015) · Briefings in Functional Genomics · doi:10.1093/bfgp/elv058 · Cited by 98 · see citing works
Wood, S., Smith, K. F., Banks, J. C., Tremblay, L. A., Rhodes, L., Mountfort, D., Cary, S. C., & Pochon, X. (2013) · New Zealand Journal of Marine and Freshwater Research · doi:10.1080/00288330.2012.745885 · Cited by 92 · see citing works
“Although available platforms utilise quite diverse chemistry and base incorporation/detection tools, they all share two main steps: library preparation (fragmentation or amplicon preparation); and detection of the incorporated nucleotide (Zhang et al. 2011).”
BackgroundTarget Enrichment Approaches for Next-Generation Sequencing Applications in Oncology
Singh, R. R. (2022) · Diagnostics · doi:10.3390/diagnostics12071539 · Cited by 100 · see citing works
“Consequently, these technologies have reached unprecedented levels of acceptance and implementation and are actively replacing classical technologies, such as Sanger sequencing, hybridization-based arrays, fluorescence in situ hybridization, qualitative real-time PCR, and PCR-coupled with fragment analysis platforms […”
BackgroundDiversity and signature of small RNA in different bodily fluids using next generation sequencing
El-Mogy, M., Lam, B., Haj-Ahmad, T. A., McGowan, S., Yu, D. L., Nosal, L., Rghei, N., Roberts, P., & Haj-Ahmad, Y. (2018) · BMC Genomics · doi:10.1186/s12864-018-4785-8 · Cited by 94 · see citing works
Lahlali, R., Ibrahim, D. S. S., Belabess, Z., Roni, M. Z. K., Radouane, N., Vicente, C. S. L., Menéndez, E., Mokrını, F., Barka, E. A., Mota, M. G. D. M. E., et al. (2021) · Heliyon · doi:10.1016/j.heliyon.2021.e08142 · Cited by 89 · see citing works
“gonucleotides of the complementary probe that hybridize to the primer (Zhang et al., 2011).”
BackgroundOmoyinmi, E., Standing, A. S. I., Keylock, A., Price-Kuehne, F. E., Gomes, S. M., Rowczenio, D. M., Nanthapisal, S., Cullup, T., Nyanhete, R., Ashton, E., et al. (2017) · PLoS ONE · doi:10.1371/journal.pone.0181874 · Cited by 82 · see citing works
Advances in Genomic Interventions for Wheat Biofortification: A Review
Saini, D. K., Devi, P., & Kaushik, P. (2020) · Agronomy · doi:10.3390/agronomy10010062 · Cited by 81 · see citing works
Using Metagenomics to Connect Microbial Community Biodiversity and Functions
Mendes, L. W., Braga, L. P. P., Navarrete, A. A., Góss-Souza, D., Silva, G. G. Z., & Tsai, S. M. (2017) · Current Issues in Molecular Biology · doi:10.21775/cimb.024.103 · Cited by 80 · see citing works
“Next-generation DNA sequencing technologies have accelerated the sequencing process, decreased the cost, and opened new horizons in the environmental understanding (Zhang et al., 2011).”
BackgroundSahu, P. K., Sao, R., Mondal, S., Vishwakarma, G., Gupta, S. K., Kumar, V., Singh, S. K., Sharma, D., & Das, B. K. (2020) · Plants · doi:10.3390/plants9101355 · Cited by 80 · see citing works
The emerging roles of NGS in clinical oncology and personalized medicine
Hussen, B. M., Abdullah, S. T., Salihi, A. B., Sabir, D. K., Sidiq, K. R., Rasul, M. F., Hidayat, H. J., Ghafouri‐Fard, S., Taheri, M. N., & Jamali, E. (2022) · Pathology - Research and Practice · doi:10.1016/j.prp.2022.153760 · Cited by 80 · see citing works
The Core Human Microbiome: Does It Exist and How Can We Find It? A Critical Review of the Concept
Sharon, I., Quijada, N. M., Pasolli, E., Fabbrini, M., Vitali, F., Agamennone, V., Dötsch, A., Selberherr, E., Grau, J. H., Meixner, M., et al. (2022) · Nutrients · doi:10.3390/nu14142872 · Cited by 79 · see citing works
“This is due to the short length of the sequenced variable regions, typically at the level of genus at most [91], and precludes distinguishing between closely related species [92,93].”
BackgroundTargeted therapy for gastric cancer: Molecular pathways and ongoing investigations
Yang, W., Raufi, A. G., & Klempner, S. J. (2014) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2014.05.003 · Cited by 78 · see citing works
Molecular Approaches to Studying Microbial Communities: Targeting the 16S Ribosomal RNA Gene
Fukuda, K., Ogawa, M., Taniguchi, H., & Saito, M. (2016) · Journal of UOEH · doi:10.7888/juoeh.38.223 · Cited by 83 · see citing works
Liu, Y., Shen, D., Zhou, F., Wang, G., & An, C. (2014) · PLoS ONE · doi:10.1371/journal.pone.0086436 · Cited by 77 · see citing works
“Second generation high-throughput DNA sequencing platforms such as Roche 454, SOLID and Illumina combined with the development of de novo assembly strategies have become powerful tools in transcriptomic studies for non-model organisms without a proper reference genome, and allow targeted identification of genes which…”
Halvade: scalable sequence analysis with MapReduce
Decap, D., Reumers, J., Herzeel, C., Costanza, P., & Fostier, J. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv179 · Cited by 75 · see citing works
“For example, modern Illumina systems can generate several hundreds of gigabases per run (Zhang et al., 2011) with a high accuracy.”
BackgroundTracking the best reference genes for RT-qPCR data normalization in filamentous fungi
Llanos, A., François, J., & Parrou, J. (2015) · BMC Genomics · doi:10.1186/s12864-015-1224-y · Cited by 74 · see citing works
“For all these reasons, and aided by extraordinary advances in genome sequencing facilities [16,17], there has been a tremendous effort to pursue the sequencing of filamentous fungi.”
BackgroundRitchie, M. D. (2012) · Human Genetics · doi:10.1007/s00439-012-1221-z · Cited by 73 · see citing works
“With the rapid development of novel technologies, there are a number of assays that can be considered and these have been reviewed elsewhere (Krueger et al. 2012; Zhou et al. 2011; Zhang et al. 2011; Ku et al. 2011).”
Bryliński, M., & Feinstein, W. P. (2013) · Journal of Computer-Aided Molecular Design · doi:10.1007/s10822-013-9663-5 · Cited by 73 · see citing works
“As a matter of fact, due to the advances in genome sequencing technologies [6, 7], these methods represent the only practical strategy to keep up with the rapid accumulation of sequence information [8, 9].”
BackgroundWu, T.-J., Shamsaddini, A., Pan, Y., Smith, K., Crichton, D. J., Simonyan, V. V., & Mazumder, R. (2014) · Database · doi:10.1093/database/bau022 · Cited by 70 · see citing works
“Rapidly evolving sequencing technologies have exponentially increased the output of genomics data (1, 2), which has led to revolutionary discoveries in cancer biology and other biological sciences (3–5).”
BackgroundQueirós, J., Godinho, R., Lopes, S., Gortázar, C., de la Fuente, J., & Alves, P. C. (2014) · Molecular Ecology Resources · doi:10.1111/1755-0998.12349 · Cited by 69 · see citing works
“Recent improvements in next generation sequencing technologies (e.g. Zhang et al. 2011) have made the study of nonmodel organisms’ genomes more accessible, allowing for the first time the evaluation of multiple aspects of their genomic variation (e.g. Nekrutenko & Taylor 2012).”
BackgroundSakai, H., Kanamori, H., Arai-Kichise, Y., Shibata-Hatta, M., Ebana, K., Oono, Y., Kurita, K., Fujisawa, H., Katagiri, S., Mukai, Y., et al. (2014) · DNA Research · doi:10.1093/dnares/dsu006 · Cited by 67 · see citing works
“sativa, thereafter, new reference sequences from additional rice cultivars are needed, although chromosomal mapping and de novo assembly of the NGS reads are still challenging.(21,22) RicecultivarKasalathbelongsto the indica subspecies or aus group of O.”
BackgroundDiMeX: A Text Mining System for Mutation-Disease Association Extraction
Mahmood, A. S. M. A., Wu, T.-J., Mazumder, R., & Vijay‐Shanker, K. (2016) · PLoS ONE · doi:10.1371/journal.pone.0152725 · Cited by 67 · see citing works
“Rapidly evolving sequencing technologies [1,2] have led to a dramatic rise in the number of published articles reporting associations between genomic variations and diseases.”
BackgroundErtl, N. G., O’Connor, W. A., Papanicolaou, A., Wiegand, A. N., & Elizur, A. (2016) · PLoS ONE · doi:10.1371/journal.pone.0156649 · Cited by 67 · see citing works
“Next generation sequencing (NGS) provides large sequencing datasets at a fast sequencing speed and more lately at an affordable price [20].”
BackgroundFountain, E. D., Pauli, J. N., Reid, B. N., Palsbøll, P. J., & Peery, M. Z. (2016) · Molecular Ecology Resources · doi:10.1111/1755-0998.12519 · Cited by 66 · see citing works
“For nonmodel species, de novo assembly presents additional challenges for SNP discovery and genotyping including spurious SNP calls as a result of collapsing paralogs into unique loci (Zhang et al. 2011).”
BackgroundNanotechnology for the Detection and Diagnosis of Plant Pathogens
Kashyap, P. L., Rai, P., Sharma, S., Chakdar, H., Kumar, S., Pandiyan, K., & Srivastava, A. K. (2016) · Sustainable agriculture reviews · doi:10.1007/978-3-319-39306-3_8 · Cited by 67 · see citing works
Current Status and Future Opportunities of Omics Tools in Mycotoxin Research
Eshelli, M., Qader, M., Jambi, E. J., Hursthouse, A. S., & Rateb, M. E. (2018) · Toxins · doi:10.3390/toxins10110433 · Cited by 67 · see citing works
Karouia, F., Peyvan, K., & Pohorille, A. (2017) · Biotechnology Advances · doi:10.1016/j.biotechadv.2017.04.003 · Cited by 66 · see citing works
Sijmons, S., Ranst, M. A. V., & Maes, P. (2014) · Viruses · doi:10.3390/v6031049 · Cited by 65 · see citing works
“These novel technologies generate a massive throughput at a considerably lower per base cost than traditional Sanger sequencing, and obviate the need for laborious cloning procedures [6–8].”
BackgroundScrutinizing Virus Genome Termini by High-Throughput Sequencing
Li, S., Fan, H., An, X., Fan, H., Jiang, H., Chen, Y., & Tong, Y. (2014) · PLoS ONE · doi:10.1371/journal.pone.0085806 · Cited by 64 · see citing works
“The florescent light signals were detected by the Genome Analyzer, which performed basecalling [20].”
MethodDiagnostic Cancer Genome Sequencing and the Contribution of Germline Variants
Kilpivaara, O., & Aaltonen, L. A. (2013) · Science · doi:10.1126/science.1233899 · Cited by 61 · see citing works
Sakatani, M., Bonilla, L., Dobbs, K. B., Block, J., Ozawa, M., Shanker, S., Yao, J., & Hansen, P. J. (2013) · Reproductive Biology and Endocrinology · doi:10.1186/1477-7827-11-3 · Cited by 62 · see citing works
“Raw sequencing reads were initially processed with GenomeQuest tools [28].”
MethodAdvances in genomics for flatfish aquaculture
Cerdà, J., & Manchado, M. (2012) · Genes & Nutrition · doi:10.1007/s12263-012-0312-8 · Cited by 58 · see citing works
“…variants and quantification of gene expression (Meijer et al. 2005; Aanes et al. 2011; Coppe et al. 2010; Fu et al. 2011; Vesterlund et al. 2011; Zhang et al. 2011b), other applications such as SNP identification (Canovas et al. 2010; Yang et al. 2011), allele-specific gene expression (Degner…”
BackgroundMethodTorkamaneh, D., Laroche, J., Tardivel, A., O’Donoughue, L. S., Cober, E. R., Rajcan, I., & Belzile, F. J. (2017) · Plant Biotechnology Journal · doi:10.1111/pbi.12825 · Cited by 59 · see citing works
“NGS technologies now allow large quantities of high-quality DNA sequence data to be generated at modest cost (Zhang et al., 2001).”
BackgroundHeterozygous rare genetic variants in non-syndromic early-onset obesity
Serra‐Juhé, C., Martos‐Moreno, G. Á., de Pieri, F. B., Flores, R., Chowen, J. A., Jurado, L. A. P., & Argente, J. (2019) · International Journal of Obesity · doi:10.1038/s41366-019-0357-5 · Cited by 60 · see citing works
Soil Microbiome Study Based on DNA Extraction: A Review
Wydro, U. (2022) · Water · doi:10.3390/w14243999 · Cited by 67 · see citing works
“The found data is then analyzed, usually using tools available on the web [97,98].”
BackgroundMethodInfluentialNext generation analytic tools for large scale genetic epidemiology studies of complex diseases
Mechanic, L. E., Chen, H., Amos, C. I., Chatterjee, N., Cox, N. J., Divi, R. L., Fan, R., Harris, E. L., Jacobs, K. B., Kraft, P. L., et al. (2011) · Genetic Epidemiology · doi:10.1002/gepi.20652 · Cited by 56 · see citing works
“The average next generation sequencing experiment generates terabytes of data [Zhang et al., 2011].”
MethodIonita‐Laza, I., Capanu, M., Rubeis, S. D., McCallum, K., & Buxbaum, J. D. (2014) · PLoS Genetics · doi:10.1371/journal.pgen.1004729 · Cited by 56 · see citing works
“genome-wide scale in a rapid and cost efficient manner [1,2,3].”
Schilmiller, A. L., Pichersky, E., & Last, R. L. (2012) · Current Opinion in Plant Biology · doi:10.1016/j.pbi.2011.12.005 · Cited by 56 · see citing works
Keulenaer, S. D., Hellemans, J., Lefever, S., Renard, J.-P., Schrijver, J. M. D., de Voorde, H. V., Tabatabaiefar, M. A., Nieuwerburgh, F. V., Flamez, D., Pattyn, F., et al. (2012) · BMC Medical Genomics · doi:10.1186/1755-8794-5-17 · Cited by 56 · see citing works
“Recently the next generation DNA sequencing technology has come of age [6].”
BackgroundRibeiro, C. D. S., van Roode, M. Y., Haringhuizen, G. B., Koopmans, M., Claassen, E., & van de Burgwal, L. (2018) · PLoS ONE · doi:10.1371/journal.pone.0195885 · Cited by 56 · see citing works
“The changing epidemiology of emerging infectious diseases, with more frequent novel outbreaks and faster spread adds to the fact that efficiency in outbreak control and response relies on timely and global access to MGR [1–3].”
A Tidal Wave of Inevitable Data? Assetization in the Consumer Genomics Testing Industry
Geiger, S., & Gross, N. (2019) · Business & Society · doi:10.1177/0007650319826307 · Cited by 56 · see citing works
Genomics in mammalian cell culture bioprocessing
Wuest, D., Harcum, S. W., & Lee, K. H. (2011) · Biotechnology Advances · doi:10.1016/j.biotechadv.2011.10.010 · Cited by 55 · see citing works
Bayrak, Ç. S., Stein, D. F., Jain, A., Chaudhary, K., Nadkarni, G. N., Vleck, T. T. V., Puel, A., Boisson‐Dupuis, S., Okada, S., Stenson, P. D., et al. (2021) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2021.10.007 · Cited by 55 · see citing works
Jijakli, K., Khraiwesh, B., Fu, W., Luo, L., Alzahmi, A. S., Koussa, J., Chaiboonchoe, A., Kırmızıaltın, S., Yen, L., & Salehi‐Ashtiani, K. (2016) · Methods · doi:10.1016/j.ymeth.2016.06.003 · Cited by 50 · see citing works
Generation and Characterisation of a Reference Transcriptome for Lentil (Lens culinaris Medik.)
Sudheesh, S., Verma, P., Forster, J. W., Cogan, N. O. I., & Kaur, S. (2016) · International Journal of Molecular Sciences · doi:10.3390/ijms17111887 · Cited by 52 · see citing works
Mycetoma Caused by Madurella mycetomatis: A Completely Neglected Medico-social Dilemma
van Belkum, A., Fahal, A. H., & van de Sande, W. W. J. (2012) · Advances in experimental medicine and biology · doi:10.1007/978-1-4614-4726-9_15 · Cited by 51 · see citing works
Biotechnological and bioinformatics approaches for augmentation of biohydrogen production: A review
Kumar, G. R., & Chowdhary, N. (2015) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.12.022 · Cited by 51 · see citing works
Courcelle, M., Tilak, M., Leite, Y. L. R., Douzery, E., & Fabre, P. (2019) · Molecular Phylogenetics and Evolution · doi:10.1016/j.ympev.2019.03.007 · Cited by 51 · see citing works
“Over the past years, the advent of next-generation DNA sequencing (NGS) shifted the way biologists access and analyze molecular data (Zhang et al. 2011; Goodwin et al. 2016).”
BackgroundCruz-Garcia, L., O’Brien, G., Sipos, B., Mayes, S., Love, M. I., Turner, D., & Badie, C. (2019) · Radiation Research · doi:10.1667/rr15476.1 · Cited by 51 · see citing works
OVarFlow: a resource optimized GATK 4 based Open source Variant calling workFlow
Bathke, J., & Lühken, G. (2021) · BMC Bioinformatics · doi:10.1186/s12859-021-04317-y · Cited by 50 · see citing works
Transcriptome Analysis of Drought Induced Stress in Chenopodium quinoa
Raney, J. A., Reynolds, D. J., Elzinga, D. B., Page, J. T., Udall, J. A., Jellen, E. N., Bonfacio, A., Fairbanks, D. J., & Maughan, P. J. (2014) · American Journal of Plant Sciences · doi:10.4236/ajps.2014.53047 · Cited by 50 · see citing works
DNA Fingerprinting, DNA Barcoding, and Next Generation Sequencing Technology in Plants
Sucher, N. J., Hennell, J. R., & Carles, M. (2012) · Methods in molecular biology · doi:10.1007/978-1-61779-609-8_2 · Cited by 50 · see citing works
- Authors
- Zhang, J., Chiodini, R., Badr, A., & Zhang, G.
- Affiliations
- Texas Tech University Health Sciences Center (US)
- Beijing Normal University (CN)
- Corresponding author
- Zhang, Jun
- Venue
- Journal of Genetics and Genomics
- Publisher
- Elsevier BV
- Published
- 2011-03
- Volume
- 38
- Issue
- 3
- Pages
- 95-109
- ISSN
- 1873-5533 (ISSN-L)
- 1673-8527
- PMC
- PMC3076108
- OpenAlex
- W2083854815
- Cited by
- 577
- References
- 98
- Citations by year
- 2026: 10 · 2025: 11 · 2024: 32 · 2023: 22 · 2022: 23 · 2021: 34 · 2020: 45 · 2019: 50 · 2018: 39 · 2017: 38 · 2016: 47 · 2015: 52 · 2014: 50 · 2013: 44 · 2012: 64
- FWCI
- 4.94
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of genetics and genomics/Journal of Genetics and Genomics (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Neurological Disorders and Stroke (R21NS061191)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genetics, Bioinformatics, and Biomedical Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
- Keywords
- next-generation sequencing, genomics, sequencing platforms, bioinformatics software, genomic data storage, genetic variation, human genome, sequencing data analysis
- MeSH terms
- Humans, Software, Genetic Variation, Sequence Alignment, Sequence Analysis, DNA, Computational Biology, Genomics, Nanotechnology, Precision Medicine
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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