Next-generation DNA sequencing View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2008-10

AUTHORS

Jay Shendure, Hanlee Ji

ABSTRACT

DNA sequence represents a single format onto which a broad range of biological phenomena can be projected for high-throughput data collection. Over the past three years, massively parallel DNA sequencing platforms have become widely available, reducing the cost of DNA sequencing by over two orders of magnitude, and democratizing the field by putting the sequencing capacity of a major genome center in the hands of individual investigators. These new technologies are rapidly evolving, and near-term challenges include the development of robust protocols for generating sequencing libraries, building effective new approaches to data-analysis, and often a rethinking of experimental design. Next-generation DNA sequencing has the potential to dramatically accelerate biological and biomedical research, by enabling the comprehensive analysis of genomes, transcriptomes and interactomes to become inexpensive, routine and widespread, rather than requiring significant production-scale efforts. More... »

PAGES

1135-1145

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  • Journal

    TITLE

    Nature Biotechnology

    ISSUE

    10

    VOLUME

    26

    Author Affiliations

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/nbt1486

    DOI

    http://dx.doi.org/10.1038/nbt1486

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1005954516

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/18846087


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    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/nbt1486'

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