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Velvet: algorithms for de novo short read assembly using de Bruijn graphs.

Identifieur interne : 002936 ( Main/Exploration ); précédent : 002935; suivant : 002937

Velvet: algorithms for de novo short read assembly using de Bruijn graphs.

Auteurs : Daniel R. Zerbino [Royaume-Uni] ; Ewan Birney

Source :

RBID : pubmed:18349386

Descripteurs français

English descriptors

Abstract

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.

DOI: 10.1101/gr.074492.107
PubMed: 18349386


Affiliations:


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