Overview and comparison of ortholog databases

Andrey Alexeyenko, Julia Lindberg, Åsa Pérez-Bercoff, Erik L.L. Sonnhammer
<span title="">2006</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/6b7t23yr6ffophcymqusi2ilgm" style="color: black;">Drug Discovery Today : Technologies</a> </i> &nbsp;
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.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ddtec.2006.06.002">doi:10.1016/j.ddtec.2006.06.002</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/24980400">pmid:24980400</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2rw37btp4nfthavz3zsjlcp3mq">fatcat:2rw37btp4nfthavz3zsjlcp3mq</a> </span>
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