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PMID: 10556321 Published · ppublish English Journal Article Research Support, U.S. Gov't, Non-P.H.S. Research Support, U.S. Gov't, P.H.S.

Improved microbial gene identification with GLIMMER.

Nucleic acids research ·Vol. 27 ·No. 23 ·1999-12-01 ·Pages 4636-41

Delcher AL, Harmon D, Kasif S, White O, Salzberg SL

Abstract

The GLIMMER system for microbial gene identification finds approximately 97-98% of all genes in a genome when compared with published annotation. This paper reports on two new results: (i) significant technical improvements to GLIMMER that improve its accuracy still further, and (ii) a comprehensive evaluation that demonstrates that the accuracy of the system is likely to be higher than previously recognized. A significant proportion of the genes missed by the system appear to be hypothetical proteins whose existence is only supported by the predictions of other programs. When the analysis is restricted to genes that have significant homology to genes in other organisms, GLIMMER misses <1% of known genes.

MeSH Terms
Algorithms Genes, Bacterial Genetic Techniques/standards Markov Chains Models, Genetic
Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Delcher A L
Department of Computer Science, Loyola College in Maryland, Baltimore, MD 21210, USA. [email protected]
Harmon D
Kasif S
White O
Salzberg S L
Article Info
Journal
Nucleic acids research
Abbr.
Nucleic Acids Res
ISSN
0305-1048
Published
1999-12-01
Pages
4636-41
Language
English
Region
England
NLM ID
0411011
PMCID
PMC148753
Subset
IM
Grants
NHGRI NIH HHS · K01-HG00022-1 · United States
NLM NIH HHS · R01 LM06845-01 · United States
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