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PMID: 11471247 Published · ppublish English Comparative Study Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Use of contiguity on the chromosome to predict functional coupling.

In silico biology ·Vol. 1 ·No. 2 ·1999-00-00 ·Pages 93-108

Overbeek R, Fonstein M, D'Souza M, Pusch GD, Maltsev N

Abstract

The availability of a growing number of completely sequenced genomes opens new opportunities for understanding of complex biological systems. Success of genome-based biology will, to a large extent, depend on the development of new approaches and tools for efficient comparative analysis of the genomes and their organization. We have developed a technique for detecting possible functional coupling between genes based on detection of potential operons. The approach involves computation of "pairs of close bidirectional best hits", which are pairs of genes that apparently occur within operons in multiple genomes. Using these pairs, one can compose evidence (based on the number of distinct genomes and the phylogenetic distance between the orthologous pairs) that a pair of genes is potentially functionally coupled. The technique has revealed a surprisingly rich and apparently accurate set of functionally coupled genes. The approach depends on the use of a relatively large number of genomes, and the amount of detected coupling grows dramatically as the number of genomes increases.

MeSH Terms
Algorithms Chromosomes/genetics Chromosomes, Bacterial/genetics Computer Simulation Diaminopimelic Acid/metabolism Escherichia coli/genetics,metabolism Genome Genome, Bacterial Models, Genetic Operon Prokaryotic Cells Purines/metabolism
Chemicals
Purines Diaminopimelic Acid
Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Overbeek R
Mathematics and Computer Science Division, Argonne National Laboratory, IL 60439, USA. [email protected]
Fonstein M
D'Souza M
Pusch G D
Maltsev N
Article Info
Journal
In silico biology
Abbr.
In Silico Biol
ISSN
1386-6338
Published
1999-00-00
Pages
93-108
Language
English
Region
Netherlands
NLM ID
9815902
Subset
IM
External Links
PubMed source
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