FunTaxIS-lite: a simple and light solution to investigate protein functions in all living organisms
Author:
Affiliation:
1. Computational Medicine Group (MedComp), Department of Molecular Medicine, University of Padova , Padova, Italy
2. Research and Innovation Center, Edmund Mach Foundation, San Michele all'Adige , Trento, Italy
Abstract
Funder
Ministero dell’Istruzione, dell’Università e della Ricerca, PON
Università degli Studi di Padova, Italy
Publisher
Oxford University Press (OUP)
Subject
Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability
Link
https://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btad549/51387343/btad549.pdf
Reference9 articles.
1. Gene ontology: tool for the unification of biology;Ashburner;Nat Genet,2000
2. Fast and sensitive protein alignment using DIAMOND;Buchfink;Nat Methods,2015
3. Eliciting the functional taxonomy from protein annotations and taxa;Falda;Sci Rep,2016
4. Percolation of annotation errors through hierarchically structured protein sequence databases;Gilks;Math Biosci,2005
5. An expanded evaluation of protein function prediction methods shows an improvement in accuracy;Jiang;Genome Biol,2016
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