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PMID: 19675096 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

PerM: efficient mapping of short sequencing reads with periodic full sensitive spaced seeds.

Bioinformatics (Oxford, England) ·Vol. 25 ·No. 19 ·2009-10-01 ·Pages 2514-21

Chen Y, Souaiaia T, Chen T

Abstract

The explosion of next-generation sequencing data has spawned the design of new algorithms and software tools to provide efficient mapping for different read lengths and sequencing technologies. In particular, ABI's sequencer (SOLiD system) poses a big computational challenge with its capacity to produce very large amounts of data, and its unique strategy of encoding sequence data into color signals. We present the mapping software, named PerM (Periodic Seed Mapping) that uses periodic spaced seeds to significantly improve mapping efficiency for large reference genomes when compared with state-of-the-art programs. The data structure in PerM requires only 4.5 bytes per base to index the human genome, allowing entire genomes to be loaded to memory, while multiple processors simultaneously map reads to the reference. Weight maximized periodic seeds offer full sensitivity for up to three mismatches and high sensitivity for four and five mismatches while minimizing the number random hits per query, significantly speeding up the running time. Such sensitivity makes PerM a valuable mapping tool for SOLiD and Solexa reads. http://code.google.com/p/perm/

MeSH Terms
Algorithms Base Sequence Computational Biology/methods Molecular Sequence Data Sequence Analysis, DNA/methods Software
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Chen Yangho
Program in Computational Biology and Bioinformatics, University of Southern California, 1050 Childs Way, Los Angeles, CA 90089-2910, USA.
Souaiaia Tade
Chen Ting
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Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4811
Published
2009-10-01
Epub
2009-00-12
Pages
2514-21
Language
English
Region
England
NLM ID
9808944
PMCID
PMC2752623
Subset
IM
Analysis Services
Analysis Services

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