Comparative Genometrics (CG): a database dedicated to biometric comparisons of whole genomes.

Details

Serval ID
serval:BIB_2B8C1BB11690
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Comparative Genometrics (CG): a database dedicated to biometric comparisons of whole genomes.
Journal
Nucleic Acids Research
Author(s)
Roten C.A., Gamba P., Barblan J.L., Karamata D.
ISSN
1362-4962[electronic]
Publication state
Published
Issued date
01/2002
Volume
30
Number
1
Pages
142-144
Language
english
Notes
Publication types: Journal Article
Abstract
The ever increasing rate at which whole genome sequences are becoming accessible to the scientific community has created an urgent need for tools enabling comparison of chromosomes of different species. We have applied biometric methods to available chromosome sequences and posted the results on our Comparative Genometrics (CG) web site. By genometrics, a term coined by Elston and Wilson [GENET: Epidemiol. (1990), 7, 17-19], we understand a biometric analysis of chromosomes. During the initial phase, our web site displays, for all completely sequenced prokaryotic genomes, three genometric analyses: the DNA walk [Lobry (1999) Microbiology Today, 26, 164-165] and two complementary representations, i.e. the cumulative GC- and TA-skew analyses, capable of identifying, at the level of whole genomes, features inherent to chromosome organization and functioning. It appears that the latter features are taxon-specific. Although primarily focused on prokaryotic chromosomes, the CG web site contains genometric information on paradigm plasmids, phages, viruses and eukaryotic organelles. Relevant data and methods can be readily used by the scientific community for further analyses as well as for tutorial purposes. Our data posted at the CG web site are freely available on the World Wide Web at http://www.unil.ch/comparativegenometrics.
Keywords
Bacteriophages/genetics, Biometry, Chromosome Walking, Chromosomes, Bacterial, DNA, Viral/genetics, Databases, Genetic, Genome, Bacterial, Information Storage and Retrieval, Internet, Organelles/metabolism, Plasmids/genetics, Sequence Homology, Nucleic Acid
Pubmed
Web of science
Open Access
Yes
Create date
24/01/2008 14:07
Last modification date
20/08/2019 13:10
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