Fast protein database as a service with kAAmer
Maxime DéraspeiD, Sébastien BoisvertiD, François LavioletteiD, Paul H. RoyiD, Jacques CorbeiliD
Abstract
Identification of proteins is one of the most computationally intensive steps in genomics studies. It usually relies on aligners that dont accommodate rich information on proteins and require additional pipelining steps for protein identification. We introduce kAAmer, a protein database engine based on amino-acid k-mers, that supports fast identification of proteins with complementary annotations. Moreover, the databases can be hosted and queried remotely.
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