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PMID: 17237039 Published · ppublish English Evaluation Study Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S.

Identifying bacterial genes and endosymbiont DNA with Glimmer.

Bioinformatics (Oxford, England) ·Vol. 23 ·No. 6 ·2007-03-15 ·Pages 673-9

Delcher AL, Bratke KA, Powers EC, Salzberg SL

Abstract

The Glimmer gene-finding software has been successfully used for finding genes in bacteria, archaea and viruses representing hundreds of species. We describe several major changes to the Glimmer system, including improved methods for identifying both coding regions and start codons. We also describe a new module of Glimmer that can distinguish host and endosymbiont DNA. This module was developed in response to the discovery that eukaryotic genome sequencing projects sometimes inadvertently capture the DNA of intracellular bacteria living in the host. The new methods dramatically reduce the rate of false-positive predictions, while maintaining Glimmer's 99% sensitivity rate at detecting genes in most species, and they find substantially more correct start sites, as measured by comparisons to known and well-curated genes. We show that our interpolated Markov model (IMM) DNA discriminator correctly separated 99% of the sequences in a recent genome project that produced a mixture of sequences from the bacterium Prochloron didemni and its sea squirt host, Lissoclinum patella. Glimmer is OSI Certified Open Source and available at http://cbcb.umd.edu/software/glimmer.

MeSH Terms
Algorithms Animals Artifacts Chromosome Mapping/methods DNA, Bacterial/genetics Decapodiformes/genetics,microbiology Genome, Bacterial/genetics Prochloron/genetics Reproducibility of Results Sensitivity and Specificity Sequence Analysis, DNA/methods Software Symbiosis/genetics
Chemicals
DNA, Bacterial
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Delcher Arthur L
Center for Bioinformatics & Computational Biology, University of Maryland, College Park, MD 20742, USA. [email protected]
Bratke Kirsten A
Powers Edwin C
Salzberg Steven L
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Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4811
Published
2007-03-15
Epub
2007-00-19
Pages
673-9
Language
English
Region
England
NLM ID
9808944
PMCID
PMC2387122
Subset
IM
Grants
NIGMS NIH HHS · R01 GM083873 · United States
NLM NIH HHS · R01-LM006845 · United States
NLM NIH HHS · R01 LM006845-08 · United States
NLM NIH HHS · R01 LM007938 · United States
NLM NIH HHS · R01-LM007938 · United States
NLM NIH HHS · R01 LM006845 · United States
NLM NIH HHS · R01 LM007938-04 · United States
PHS HHS · HHSN266200400038C · United States
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