Skip Navigation


Bioinformatics Advance Access originally published online on September 24, 2009
Bioinformatics 2009 25(21):2863-2864; doi:10.1093/bioinformatics/btp525
This Article
Right arrow Full Text
Right arrow Full Text (Print PDF)
Right arrow All Versions of this Article:
25/21/2863    most recent
btp525v1
Right arrow Comments: Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when Comments are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Brudno, M.
Right arrow Articles by De La Vega, F. M.
PubMed
Right arrow PubMed Citation
Right arrow Articles by Brudno, M.
Right arrow Articles by De La Vega, F. M.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author 2009. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

A report on the 2009 SIG on short read sequencing and algorithms (Short-SIG)

Michael Brudno 1,2, Paul Medvedev 1, Jens Stoye 3 and Francisco M. De La Vega 4

1 Department of Computer Science, 2 Banting and Best Department of Medical Research, University of Toronto, Toronto, Canada, 3 Faculty of Technology, Bielefeld University, Bielefeld, Germany and 4 Life Technologies, Foster City, CA, USA

The first 150 words of the full text of this article appear below.

High-throughput sequencing (HTS) technologies are revolutionizing the way biologists acquire and analyze genomic data. HTS instruments, such as the Illumina Genomic Analyzer and the Applied Biosystems SOLiD System, are currently able to sequence tens of gigabases per week, at a cost of 200-fold less than previous methods, potentially enabling the routine sequencing of human and other genomes. Over the last few years the promise of HTS technologies has become a reality, however, realizing that the full promise of these technologies requires the development of computational methods that can analyze the resulting datasets to infer biological meaning. HTS can be used to study many biological problems, including assembling genomes of new organisms, identifying genome variation within a population, discovering novel transcripts, analyzing gene expression, discerning the regulatory mechanisms behind the expression levels and profiling the metagenome of a community. While many HTS datasets are readily available, the main bottleneck in the . . . [Full Text of this Article]


   1 VARIATION DISCOVERY
 

   2 RNA SEQUENCING
 

   3 METAGENOMICS, ASSEMBLY AND STATISTICS
 

   4 KEYNOTE
 

Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?