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Velvet: Algorithms for de novo short read assembly using de Bruijn graphs
Author(s) -
Daniel R. Zerbino,
Ewan Birney
Publication year - 2008
Publication title -
genome research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.556
H-Index - 297
eISSN - 1549-5469
pISSN - 1088-9051
DOI - 10.1101/gr.074492.107
Subject(s) - contig , de bruijn sequence , velvet , de bruijn graph , biology , k mer , sequence assembly , algorithm , computer science , computational biology , genetics , combinatorics , dna sequencing , genome , mathematics , gene , gene expression , transcriptome , organic chemistry , chemistry
We have developed a new set of algorithms, collectively called "Velvet," to manipulate de Bruijn graphs for genomic sequence assembly. A de Bruijn graph is a compact representation based on short words (k-mers) that is ideal for high coverage, very short read (25-50 bp) data sets. Applying Velvet to very short reads and paired-ends information only, one can produce contigs of significant length, up to 50-kb N50 length in simulations of prokaryotic data and 3-kb N50 on simulated mammalian BACs. When applied to real Solexa data sets without read pairs, Velvet generated contigs of approximately 8 kb in a prokaryote and 2 kb in a mammalian BAC, in close agreement with our simulated results without read-pair information. Velvet represents a new approach to assembly that can leverage very short reads in combination with read pairs to produce useful assemblies.

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