Journal Article

Human genomes as email attachments

Scott Christley, Yiming Lu, Chen Li and Xiaohui Xie

in Bioinformatics

Volume 25, issue 2, pages 274-275
Published in print January 2009 | ISSN: 1367-4803
Published online September 2008 | e-ISSN: 1460-2059 | DOI: http://dx.doi.org/10.1093/bioinformatics/btn582
Human genomes as email attachments

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Summary: The amount of genomic sequence data being generated and made available through public databases continues to increase at an ever-expanding rate. Downloading, copying, sharing and manipulating these large datasets are becoming difficult and time consuming for researchers. We need to consider using advanced compression techniques as part of a standard data format for genomic data. The inherent structure of genome data allows for more efficient lossless compression than can be obtained through the use of generic compression programs. We apply a series of techniques to James Watson's genome that in combination reduce it to a mere 4MB, small enough to be sent as an email attachment.

Availability: Our algorithms are implemented in C++ and are freely available from http://www.ics.uci.edu/~xhx/project/DNAzip.

Contact: chenli@ics.uci.edu; xhx@ics.uci.edu

Supplementary information: Supplementary data are available at Bioinformatics online.

Journal Article.  1654 words. 

Subjects: Bioinformatics and Computational Biology

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