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Cited by 577Genomics and Phylogenetic StudiesGenetics, Bioinformatics, and Biomedical ResearchGenomics and Rare Diseases

The DOI matches its Crossref record; 98 of the 98 references it cites were found in a registry or an index.

The impact of next-generation sequencing on genomics

Open access
Zhang, Jun, Chiodini, Rod, Badr, Ahmed, Zhang, Genfa·2011·Journal of Genetics and Genomics
DOI 10.1016/j.jgg.2011.02.003PMC PMC3076108
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Abstract

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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Citations

Cites

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    Self-citation

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    BackgroundInfluential

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    BackgroundInfluential

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    Background

  • SOAP: Short oligonucleotide alignment program

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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.”
    Method

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    Method

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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.”
    Method

  • The potential and challenges of nanopore sequencing

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    Background

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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
ORCID
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
DOI
10.1016/j.jgg.2011.02.003
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
Licence
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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