Genomicus: a database and a browser to study gene synteny in modern and ancestral genomes

Comparative genomics remains a pivotal strategy to study the evolution of gene organization, and this primacy is reinforced by the growing number of full genome sequences available in public repositories. Despite this growth, bioinformatic tools available to visualize and compare genomes and to infe...

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Bibliographic Details
Published inBioinformatics Vol. 26; no. 8; pp. 1119 - 1121
Main Authors Muffato, Matthieu, Louis, Alexandra, Poisnel, Charles-Edouard, Crollius, Hugues Roest
Format Journal Article
LanguageEnglish
Published England Oxford University Press 15.04.2010
Oxford University Press (OUP)
Subjects
Applications Note
Databases, Genetic
Evolution, Molecular
Genes
Genome
Genomics
Internet
Life Sciences
Software
Synteny - genetics
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Summary:Comparative genomics remains a pivotal strategy to study the evolution of gene organization, and this primacy is reinforced by the growing number of full genome sequences available in public repositories. Despite this growth, bioinformatic tools available to visualize and compare genomes and to infer evolutionary events remain restricted to two or three genomes at a time, thus limiting the breadth and the nature of the question that can be investigated. Here we present Genomicus, a new synteny browser that can represent and compare unlimited numbers of genomes in a broad phylogenetic view. In addition, Genomicus includes reconstructed ancestral gene organization, thus greatly facilitating the interpretation of the data. Availability: Genomicus is freely available for online use at http://www.dyogen.ens.fr/genomicus while data can be downloaded at ftp://ftp.biologie.ens.fr/pub/dyogen/genomicus Contact: hrc@biologie.ens.fr
Bibliography:ark:/67375/HXZ-19PTXGT5-T
istex:06AFD9A208F9DE34655A753800B975E22E8C8B6D
To whom correspondence should be addressed.
ArticleID:btq079
Associate Editor: John Quackenbush
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
PMCID: PMC2853686
ISSN:1367-4803
1460-2059
1367-4811
DOI:10.1093/bioinformatics/btq079