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Automatic detection of subsystem/pathway variants in genome analysis
Author(s) -
Y. Ye,
A.L. Osterman,
Ross Overbeek,
Adam Godzik
Publication year - 2005
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bti1052
Subject(s) - genome , annotation , computer science , computational biology , context (archaeology) , dynamic programming , generalization , biology , theoretical computer science , artificial intelligence , genetics , gene , algorithm , mathematics , paleontology , mathematical analysis
Proteins work together in pathways and networks, collectively comprising the cellular machinery. A subsystem (a generalization of pathway concept) is a group of related functional roles (such as enzymes) jointly involved in a specific aspect of the cellular machinery. Subsystems provide a natural framework for comparative genome analysis and functional annotation. A subsystem may be implemented in a number of different functional variants in individual species. In order to reliably project functional assignments across multiple genomes, we have to be able to identify the variants implemented in each genome. The analysis of such variants across diverse species is an interesting problem by itself and may provide new evolutionary insights. However, no computational techniques are presently available for an automated detection and analysis of subsystem variants.

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