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PMID: 10592199 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

WIT: integrated system for high-throughput genome sequence analysis and metabolic reconstruction.

Nucleic acids research ·Vol. 28 ·No. 1 ·2000-01-01 ·Pages 123-5

Overbeek R, Larsen N, Pusch GD, D'Souza M, Selkov E, Kyrpides N, Fonstein M, Maltsev N, Selkov E

Abstract

The WIT (What Is There) (http://wit.mcs.anl.gov/WIT2/) system has been designed to support comparative analysis of sequenced genomes and to generate metabolic reconstructions based on chromosomal sequences and metabolic modules from the EMP/MPW family of databases. This system contains data derived from about 40 completed or nearly completed genomes. Sequence homologies, various ORF-clustering algorithms, relative gene positions on the chromosome and placement of gene products in metabolic pathways (metabolic reconstruction) can be used for the assignment of gene functions and for development of overviews of genomes within WIT. The integration of a large number of phylogenetically diverse genomes in WIT facilitates the understanding of the physiology of different organisms.

MeSH Terms
Databases, Factual Genome Internet Open Reading Frames Systems Integration
Authors & Affiliations
9 authors, click to expand affiliations / ORCID
Overbeek R
Integrated Genomics Inc., 2201 W. Campbell Park Drive, Chicago, IL 60612, USA. ross@integratedgenomics.com
Larsen N
Pusch G D
D'Souza M
Selkov E
Kyrpides N
Fonstein M
Maltsev N
Selkov E
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Article Info
Journal
Nucleic acids research
Abbr.
Nucleic Acids Res
ISSN
0305-1048
DOI
10.1093/nar/28.1.123
Email
ross@integratedgenomics.com
Published
2000-01-01
Pages
123-5
Language
English
Region
England
NLM ID
0411011
PMCID
PMC102471
Subset
IM
Corrections
CommentIn
PMID: 20063234
CommentIn
PMID: 20063235
External Links
PubMed source DOI: 10.1093/nar/28.1.123 PMC Full Text View journal details
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