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PMID: 18356192 Published · ppublish English Evaluation Study Journal Article Research Support, U.S. Gov't, Non-P.H.S. Validation Study

Scaffolding and validation of bacterial genome assemblies using optical restriction maps.

Bioinformatics (Oxford, England) ·Vol. 24 ·No. 10 ·2008-05-15 ·Pages 1229-35

Nagarajan N, Read TD, Pop M

Abstract

New, high-throughput sequencing technologies have made it feasible to cheaply generate vast amounts of sequence information from a genome of interest. The computational reconstruction of the complete sequence of a genome is complicated by specific features of these new sequencing technologies, such as the short length of the sequencing reads and absence of mate-pair information. In this article we propose methods to overcome such limitations by incorporating information from optical restriction maps. We demonstrate the robustness of our methods to sequencing and assembly errors using extensive experiments on simulated datasets. We then present the results obtained by applying our algorithms to data generated from two bacterial genomes Yersinia aldovae and Yersinia kristensenii. The resulting assemblies contain a single scaffold covering a large fraction of the respective genomes, suggesting that the careful use of optical maps can provide a cost-effective framework for the assembly of genomes. The tools described here are available as an open-source package at ftp://ftp.cbcb.umd.edu/pub/software/soma

MeSH Terms
Algorithms Base Sequence Chromosome Mapping/methods Genome, Bacterial/genetics Molecular Sequence Data Optics and Photonics Restriction Mapping/methods Sequence Alignment/methods Sequence Analysis, DNA/methods
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Nagarajan Niranjan
University of Maryland, College Park, MD 20742, USA.
Read Timothy D
Pop Mihai
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14 references, click to expand
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Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4811
Published
2008-05-15
Epub
2008-00-20
Pages
1229-35
Language
English
Region
England
NLM ID
9808944
PMCID
PMC2373919
Subset
IM
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