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      An analysis of the feasibility of short read sequencing

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          Abstract

          Several methods for ultra high-throughput DNA sequencing are currently under investigation. Many of these methods yield very short blocks of sequence information (reads). Here we report on an analysis showing the level of genome sequencing possible as a function of read length. It is shown that re-sequencing and de novo sequencing of the majority of a bacterial genome is possible with read lengths of 20–30 nt, and that reads of 50 nt can provide reconstructed contigs (a contiguous fragment of sequence data) of 1000 nt and greater that cover 80% of human chromosome 1.

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          Most cited references28

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          Solexa Ltd.

          Solexa Ltd is developing an integrated system, based on a breakthrough single molecule sequencing technology, to address a US$2 billion market that is expected to grow exponentially alongside and as a consequence of further technological enhancements. The system, software and consumables will initially be sold to research organizations, pharmaceutical companies and diagnostic companies that will sequence large regions of genomic DNA, including whole genomes, at costs several orders of magnitude below current levels. Solexa expects to launch its first product in 2006, and as it continues to make time and cost efficiencies, additional products will be launched into the expanding markets that will have broad applications in basic research through to healthcare management.
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            Suffix Arrays: A New Method for On-Line String Searches

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              A sequencing method based on real-time pyrophosphate.

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                Author and article information

                Journal
                Nucleic Acids Res
                Nucleic Acids Research
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                2005
                2005
                7 November 2005
                : 33
                : 19
                : e171
                Affiliations
                School of Chemistry, University of Southampton Southampton SO17 1BJ, UK
                1School of Electronics and Computer Science, University of Southampton Southampton SO17 1BJ, UK
                2School of Chemistry, University of Edinburgh Edinburgh EH9 3JJ, UK
                Author notes
                *To whom correspondence should be addressed. Tel: +44 23 8059 4164; Fax: +44 23 8059 6805; Email: D.C.Neylon@ 123456soton.ac.uk
                Article
                10.1093/nar/gni170
                1278949
                16275781
                1438bbb6-6bba-45cb-8c38-52d26b8ed9d6
                © The Author 2005. Published by Oxford University Press. All rights reserved

                The online version of this article has been published under an open access model. Users are entitled to use, reproduce, disseminate, or display the open access version of this article for non-commercial purposes provided that: the original authorship is properly and fully attributed; the Journal and Oxford University Press are attributed as the original place of publication with the correct citation details given; if an article is subsequently reproduced or disseminated not in its entirety but only in part or as a derivative work this must be clearly indicated. For commercial re-use, please contact journals.permissions@ 123456oxfordjournals.org

                History
                : 02 June 2005
                : 11 August 2005
                : 14 October 2005
                Categories
                Methods Online

                Genetics
                Genetics

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