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Identifying bacterial genes and endosymbiont DNA with Glimmer

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Delcher, Arthur L., Bratke, Kirsten A., Powers, Edwin C., Salzberg, Steven L.·2007·Bioinformatics

Abstract

Motivation: The Glimmer gene-finding software has been successfully used for finding genes in bacteria, archæa 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. Results: 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. Availability: Glimmer is OSI Certified Open Source and available at http://cbcb.umd.edu/software/glimmer Contact: adelcher@umiacs.umd.edu

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Metadata

Authors
Delcher, A. L., Bratke, K. A., Powers, E. C., & Salzberg, S. L.
Venue
Bioinformatics
Published
2007-01-19
Volume
23
Issue
6
Pages
673-679
ISSN
  • 1367-4803 (ISSN-L)
  • 1367-4811
OpenAlex
W2105199251
Cited by
3,134
References
2
FWCI
20.35
Type
journal article
Language
en
Open access
hybrid

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Delcher, A. L., Bratke, K. A., Powers, E. C., & Salzberg, S. L. (2007). Identifying bacterial genes and endosymbiont DNA with Glimmer. Bioinformatics. https://doi.org/10.1093/bioinformatics/btm009

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