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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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Exome sequencing identifies the cause of a mendelian disorder
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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…”
BackgroundNext-generation sequencing transforms today's biology
Schuster, S. C. (2007) · Nature Methods · doi:10.1038/nmeth1156 · Cited by 1,870 · cited 2×
“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).”
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MethodThe Sequence of the Human Genome
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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 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).”
MethodAccurate Multiplex Polony Sequencing of an Evolved Bacterial Genome
Shendure, J., Porreca, G. J., Reppas, N. B., Lin, X., McCutcheon, J. P., Rosenbaum, A. M., Wang, M. D., Zhang, K., Mitra, R. D., & Church, G. M. (2005) · Science · doi:10.1126/science.1117389 · Cited by 1,402 · cited 1×
“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
Ng, S. B. H., Bigham, A. W., Buckingham, K. J., Hannibal, M., McMillin, M. J., Gildersleeve, H. I. S., Beck, A. E., Tabor, H. K., Cooper, G. M., Mefford, H. C., et al. (2010) · Nature Genetics · doi:10.1038/ng.646 · Cited by 1,349 · cited 3×
“…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
Frazer, K. A., Murray, S. S., Schork, N. J., & Topol, E. J. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2554 · Cited by 1,073 · cited 3×
“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).”
BackgroundPrediction of deleterious human alleles
Sunyaev, S. R. (2001) · Human Molecular Genetics · doi:10.1093/hmg/10.6.591 · Cited by 1,053 · cited 1×
“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
Ansorge, W. J. (2009) · New Biotechnology · doi:10.1016/j.nbt.2008.12.009 · Cited by 993 · cited 1×
“More detailed technical description of these platforms are available elsewhere (Mardis, 2008a,b, 2009; Schuster, 2008; Shendure and Ji, 2008; Ansorge, 2009; Harismendy et al., 2009; Tucker et al., 2009; Voelkerding et al., 2009; Metzker, 2010; Ng and Kirkness, 2010).”
BackgroundSNP detection for massively parallel whole-genome resequencing
Li, R., Li, Y., Fang, X., Yang, H., Wang, J., Kristiansen, K., & Wang, J. (2009) · Genome Research · doi:10.1101/gr.088013.108 · Cited by 944
Capriotti, E., Calabrese, R., & Casadio, R. (2006) · Bioinformatics · doi:10.1093/bioinformatics/btl423 · Cited by 940 · cited 1×
“Predictor of human Deleterious Single Nucleotide Polymorphisms (PhD-SNP) is an optimized program to predict if a given single point protein mutation can be classified as disease-related or as neutral polymorphism based on protein sequence and profile information (Capriotti et al., 2006).”
BackgroundThe diploid genome sequence of an Asian individual
Wang, J., Wang, W., Li, R., Li, Y., Tian, G., Goodman, L., Fan, W., Zhang, J., Li, J., Zhang, J., et al. (2008) · Nature · doi:10.1038/nature07484 · Cited by 924 · cited 1×
“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).”
BackgroundSelf-citationNext-Generation Sequencing: From Basic Research to Diagnostics
Voelkerding, K. V., Dames, S. A., & Durtschi, J. (2009) · Clinical Chemistry · doi:10.1373/clinchem.2008.112789 · Cited by 903 · cited 1×
“More detailed technical description of these platforms are available elsewhere (Mardis, 2008a,b, 2009; Schuster, 2008; Shendure and Ji, 2008; Ansorge, 2009; Harismendy et al., 2009; Tucker et al., 2009; Voelkerding et al., 2009; Metzker, 2010; Ng and Kirkness, 2010).”
BackgroundA survey of sequence alignment algorithms for next-generation sequencing
Li, H., & Homer, N. (2010) · Briefings in Bioinformatics · doi:10.1093/bib/bbq015 · Cited by 875 · cited 2×
“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).”
BackgroundMethodWooley, J., Godzik, A., & Friedberg, I. (2010) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000667 · Cited by 763 · cited 1×
“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×
“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×
“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 630 · cited 1×
“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
Harismendy, O., Ng, P. C., Strausberg, R. L., Wang, X., Stockwell, T. B., Beeson, K. Y., Schork, N. J., Murray, S. S., Topol, E. J., Levy, S., et al. (2009) · Genome Biology · doi:10.1186/gb-2009-10-3-r32 · Cited by 614 · cited 2×
“More detailed technical description of these platforms are available elsewhere (Mardis, 2008a,b, 2009; Schuster, 2008; Shendure and Ji, 2008; Ansorge, 2009; Harismendy et al., 2009; Tucker et al., 2009; Voelkerding et al., 2009; Metzker, 2010; Ng and Kirkness, 2010).”
BackgroundComputational methods for discovering structural variation with next-generation sequencing
Medvedev, P., Stanciu, M., & Brudno, M. (2009) · Nature Methods · doi:10.1038/nmeth.1374 · Cited by 564 · cited 1×
“…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 532 · cited 1×
“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
Bilgüvar, K., Öztürk, A. K., Louvi, A., Kwan, K. Y., Choi, M., Tatlı, B., Yalnızoğlu, D., Tüysüz, B., Çağlayan, A. O., Gökben, S., et al. (2010) · Nature · doi:10.1038/nature09327 · Cited by 503 · cited 1×
“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
Langmead, B., Schatz, M. C., Lin, J., Pop, M., & Salzberg, S. L. (2009) · Genome biology · doi:10.1186/gb-2009-10-11-r134 · Cited by 490 · cited 1×
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BackgroundSeqMap: mapping massive amount of oligonucleotides to the genome
Jiang, H., & Wong, W. H. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btn429 · Cited by 479 · cited 2×
“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.”
MethodGenerations 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).”
BackgroundSolid-state nanopore channels with DNA selectivity
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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).”
BackgroundMassively Parallel Sequencing: The Next Big Thing in Genetic Medicine
Tucker, T., Marra, M. A., & Friedman, J. M. (2009) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2009.06.022 · Cited by 393 · cited 2×
“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).”
BackgroundNg, P. C., & Kirkness, E. F. (2010) · Methods in molecular biology · doi:10.1007/978-1-60327-367-1_12 · Cited by 366
Sense from sequence reads: methods for alignment and assembly
Flicek, P., & Birney, E. (2009) · Nature Methods · doi:10.1038/nmeth.1376 · Cited by 357
An agenda for personalized medicine
Ng, P. C., Murray, S. S., Levy, S., & Venter, J. C. (2009) · Nature · doi:10.1038/461724a · Cited by 330 · cited 2×
“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).”
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×
“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).”
BackgroundThe first Korean genome sequence and analysis: Full genome sequencing for a socio-ethnic groupPreprint
Ahn, S., Kim, T. P., Lee, S., Kim, D., Ghang, H., Kim, D., Kim, B.-C., Kim, S.-Y., Kim, W.-Y., Kim, C., et al. (2009) · Genome Research · doi:10.1101/gr.092197.109 · Cited by 326 · cited 1×
“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×
“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×
“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×
“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×
“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×
“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 262 · cited 1×
“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 259 · cited 2×
“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 256 · cited 1×
“…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 225 · cited 1×
“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 199 · cited 1×
“…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 195 · cited 1×
“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×
“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×
“…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×
“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.”
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 147 · cited 1×
“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).”
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×
“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…”
BackgroundMcPherson, J. D. (2009) · Nature Methods · doi:10.1038/nmeth.f.268 · Cited by 134 · cited 1×
“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×
“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).”
MethodEnrichment 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 119 · cited 1×
“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).”
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×
“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).”
BackgroundPharmacogenetics and human genetic polymorphisms
Daly, A. K. (2010) · Biochemical Journal · doi:10.1042/bj20100522 · Cited by 105 · cited 2×
“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×
“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 100 · cited 1×
“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×
“…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×
“…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×
“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 81 · cited 1×
“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×
“…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×
“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×
“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×
“…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×
“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×
“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×
“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).”
MethodToward 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×
“The term “genomics” was used as the name of the first journal in the field of genomics (McKusick and Ruddle, 1987).”
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 45 · cited 1×
“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).”
BackgroundImpact 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×
“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×
“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×
“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
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×
“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×
“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×
“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×
“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×
“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
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×
“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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Sorted by citations
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
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 1,007
“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 884
“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 794
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 782
Metadata
- 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
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