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PMID: 24980400 Published · ppublish English Journal Article

Overview and comparison of ortholog databases.

Drug discovery today. Technologies ·Vol. 3 ·No. 2 ·2006-00-00 ·Pages 137-43

Alexeyenko A, Lindberg J, Pérez-Bercoff A, Sonnhammer EL

Abstract

Orthologs are an indispensable bridge to transfer biological knowledge between species, from protein annotations to sophisticated disease models. However, orthology assignment is not trivial. A large number of resources now exist, each with its own idiosyncrasies. The goal of this review is to compare their contents and clarify which database is most suited for a certain task.:

Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Alexeyenko Andrey
Stockholm Bioinformatics Center, Albanova, Stockholm University, SE-106 91, Stockholm, Sweden.
Lindberg Julia
Stockholm Bioinformatics Center, Albanova, Stockholm University, SE-106 91, Stockholm, Sweden.
Pérez-Bercoff Asa
Stockholm Bioinformatics Center, Albanova, Stockholm University, SE-106 91, Stockholm, Sweden.
Sonnhammer Erik L L
Stockholm Bioinformatics Center, Albanova, Stockholm University, SE-106 91, Stockholm, Sweden. Electronic address:Erik.Sonnhammer@sbc.su.se.
Article Info
Journal
Drug discovery today. Technologies
Abbr.
Drug Discov Today Technol
ISSN
1740-6749
Published
2006-00-00
Pages
137-43
Language
English
Region
England
NLM ID
101235076
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