COMPARE, a multi-organism system for cross-species data comparison and transfer of information

David Salgado, Gregory Gimenez, Francois Coulier, Christophe Marcelle

Research output: Contribution to journalLetterOther

Abstract

(APPLICATIONS NOTE) MOTIVATION: COMPARE is a multi-organism web-based resource system designed to easily retrieve, correlate and interpret data across species. The COMPARE interface provides access to a wide array of information including genomic structure, expression data, annotations, pathways and literature links for human and three widely studied animal models (zebrafish, Drosophila and mouse). A consensus ortholog-finding pipeline combining several ortholog prediction methods allows accurate comparisons of data across species and has been utilized to transfer information from well studied organisms to more poorly annotated ones. AVAILABILITY: http://compare.ibdml.univ-mrs.fr.
Original languageEnglish
Pages (from-to)447 - 449
Number of pages3
JournalBioinformatics
Volume24
Issue number3
Publication statusPublished - 2008

Cite this

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COMPARE, a multi-organism system for cross-species data comparison and transfer of information. / Salgado, David; Gimenez, Gregory; Coulier, Francois; Marcelle, Christophe.

In: Bioinformatics, Vol. 24, No. 3, 2008, p. 447 - 449.

Research output: Contribution to journalLetterOther

TY - JOUR

T1 - COMPARE, a multi-organism system for cross-species data comparison and transfer of information

AU - Salgado, David

AU - Gimenez, Gregory

AU - Coulier, Francois

AU - Marcelle, Christophe

PY - 2008

Y1 - 2008

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AB - (APPLICATIONS NOTE) MOTIVATION: COMPARE is a multi-organism web-based resource system designed to easily retrieve, correlate and interpret data across species. The COMPARE interface provides access to a wide array of information including genomic structure, expression data, annotations, pathways and literature links for human and three widely studied animal models (zebrafish, Drosophila and mouse). A consensus ortholog-finding pipeline combining several ortholog prediction methods allows accurate comparisons of data across species and has been utilized to transfer information from well studied organisms to more poorly annotated ones. AVAILABILITY: http://compare.ibdml.univ-mrs.fr.

UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=18056065

M3 - Letter

VL - 24

SP - 447

EP - 449

JO - Bioinformatics

JF - Bioinformatics

SN - 1367-4803

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