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Rabifier2: an improved bioinformatic classifier of Rab GTPases
Author(s) -
Jarosław Surkont,
Yoan Diekmann,
José B. PereiraLeal
Publication year - 2016
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btw654
Subject(s) - rab , gtpase , computer science , python (programming language) , source code , classifier (uml) , open source , programming language , computational biology , biology , software , microbiology and biotechnology
The Rab family of small GTPases regulates and provides specificity to the endomembrane trafficking system; each Rab subfamily is associated with specific pathways. Thus, characterization of Rab repertoires provides functional information about organisms and evolution of the eukaryotic cell. Yet, the complex structure of the Rab family limits the application of existing methods for protein classification. Here, we present a major redesign of the Rabifier, a bioinformatic pipeline for detection and classification of Rab GTPases. It is more accurate, significantly faster than the original version and is now open source, both the code and the data, allowing for community participation.

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