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

• Published in: Nucleic acids research Vol. 28; no. 1; pp. 123 - 125
• Main Authors: Overbeek, R, Larsen, N, Pusch, G D, D'Souza, M, Selkov, Jr, E, Kyrpides, N, Fonstein, M, Maltsev, N, Selkov, E
• Format: Journal Article
• Language: English
• Published: England Oxford Publishing Limited (England) 01-01-2000; Oxford University Press
• Subjects: ALGORITHMS; BASIC BIOLOGICAL SCIENCES; BIOLOGICAL PATHWAYS; CHROMOSOMES; DATA; DATA BASE MANAGEMENT; Databases, Factual; FUNCTIONS; GENES; Genome; INFORMATION SYSTEMS; Internet; Open Reading Frames; PHYSIOLOGY; STRUCTURAL CHEMICAL ANALYSIS; Systems Integration; WIT database
• ISSN: 0305-1048; 1362-4962; 1362-4962
• DOI: 10.1093/nar/28.1.123

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.