Improved microbial gene identification with GLIMMER

1999/12/01 by Art L. Delcher · 7 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Machine Learning in Bioinformatics #Algorithms and Data Compression #Genomics and Phylogenetic Studies

paper · pdf · doi:10.1093/nar/27.23.4636

openalex publication_date 1999/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/26

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.

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• The genome sequence of the capnophilic rumen bacterium Mannheimia succiniciproducens
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• List of gene prediction software [wikipedia]