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Misassembly detection using paired-end sequence reads and optical mapping data

Authors :
Simon J. Puglisi
Christina Boucher
Martin D. Muggli
Roy Ronen
Department of Computer Science
Helsinki Institute for Information Technology
Genome-scale Algorithmics research group / Veli Mäkinen
Bioinformatics
Algorithmic Bioinformatics
Source :
Bioinformatics
Publication Year :
2015
Publisher :
Oxford University Press (OUP), 2015.

Abstract

A crucial problem in genome assembly is the discovery and correction of misassembly errors in draft genomes. We develop a method that will enhance the quality of draft genomes by identifying and removing misassembly errors using paired short read sequence data and optical mapping data. We apply our method to various assemblies of the loblolly pine and Francisella tularensis genomes. Our results demonstrate that we detect more than 54% of extensively misassembled contigs and more than 60% of locally misassembed contigs in an assembly of Francisella tularensis, and between 31% and 100% of extensively misassembled contigs and between 57% and 73% of locally misassembed contigs in the assemblies of loblolly pine. MISSEQUEL can be downloaded at http://www.cs.colostate.edu/seq/.<br />14 pages, 4 figures. Submitted to RECOMB. Preparing to submit to Genome Biology

Details

ISSN :
13674811 and 13674803
Volume :
31
Database :
OpenAIRE
Journal :
Bioinformatics
Accession number :
edsair.doi.dedup.....5fd0d00bcd0985b23cfa2797ca35ea4d