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PMID: 14744981 Published · epublish English Journal Article Research Support, U.S. Gov't, P.H.S.

Automated correction of genome sequence errors.

Nucleic acids research ·Vol. 32 ·No. 2 ·2004-00-00 ·Pages 562-9

Gajer P, Schatz M, Salzberg SL

Abstract

By using information from an assembly of a genome, a new program called AutoEditor significantly improves base calling accuracy over that achieved by previous algorithms. This in turn improves the overall accuracy of genome sequences and facilitates the use of these sequences for polymorphism discovery. We describe the algorithm and its application in a large set of recent genome sequencing projects. The number of erroneous base calls in these projects was reduced by 80%. In an analysis of over one million corrections, we found that AutoEditor made just one error per 8828 corrections. By substantially increasing the accuracy of base calling, AutoEditor can dramatically accelerate the process of finishing genomes, which involves closing all gaps and ensuring minimum quality standards for the final sequence. It also greatly improves our ability to discover single nucleotide polymorphisms (SNPs) between closely related strains and isolates of the same species.

MeSH Terms
Algorithms Animals Automation/methods Base Sequence Genome Genomics/methods Molecular Sequence Data Polymorphism, Single Nucleotide/genetics Research Design Sensitivity and Specificity Software
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Gajer Pawel
The Institute for Genomic Research, 9712 Medical Center Drive, Rockville, MD 20850, USA. [email protected]
Schatz Michael
Salzberg Steven L
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Article Info
Journal
Nucleic acids research
Abbr.
Nucleic Acids Res
ISSN
1362-4962
Published
2004-00-00
Epub
2004-00-26
Pages
562-9
Language
English
Region
England
NLM ID
0411011
PMCID
PMC373340
Subset
IM
Grants
NIAID NIH HHS · N01AI15447 · United States
NLM NIH HHS · R01 LM006845 · United States
NLM NIH HHS · R01-LM06845 · United States
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