A consistency-based consensus algorithm for de novo and reference-guided sequence assembly of short reads
Author(s) -
Tobias Rausch,
Sergey Koren,
Gennady Denisov,
David Weese,
AnneKatrin Emde,
Andreas GogolDöring,
Knut Reinert
Publication year - 2009
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btp131
Subject(s) - computer science , sequence assembly , consistency (knowledge bases) , documentation , reference genome , graph , data mining , insert (composites) , dna sequencing , programming language , theoretical computer science , artificial intelligence , biology , genetics , gene , gene expression , transcriptome , mechanical engineering , engineering
Novel high-throughput sequencing technologies pose new algorithmic challenges in handling massive amounts of short-read, high-coverage data. A robust and versatile consensus tool is of particular interest for such data since a sound multi-read alignment is a prerequisite for variation analyses, accurate genome assemblies and insert sequencing.
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