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PMID: 23160280 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S.

Streaming fragment assignment for real-time analysis of sequencing experiments.

Nature methods ·Vol. 10 ·No. 1 ·2013-01-00 ·Pages 71-3

Roberts A, Pachter L

Abstract

We present eXpress, a software package for efficient probabilistic assignment of ambiguously mapping sequenced fragments. eXpress uses a streaming algorithm with linear run time and constant memory use. It can determine abundances of sequenced molecules in real time and can be applied to ChIP-seq, metagenomics and other large-scale sequencing data. We demonstrate its use on RNA-seq data and show that eXpress achieves greater efficiency than other quantification methods.

MeSH Terms
Algorithms Chromatin Immunoprecipitation Computational Biology Gene Expression Profiling/methods High-Throughput Nucleotide Sequencing/methods Humans Oligonucleotide Array Sequence Analysis RNA/genetics Sequence Analysis, DNA/methods Sequence Analysis, RNA/methods Software
Chemicals
RNA
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Roberts Adam
Department of Computer Science, University of California, Berkeley, Berkeley, California, USA.
Pachter Lior
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15 references, click to expand
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Article Info
Journal
Nature methods
Abbr.
Nat Methods
ISSN
1548-7105
Published
2013-01-00
Epub
2012-00-18
Pages
71-3
Language
English
Region
United States
NLM ID
101215604
PMCID
PMC3880119
Subset
IM
Grants
NHGRI NIH HHS · R01 HG006129 · United States
NHGRI NIH HHS · R01HG006129 · United States
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