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DeepNOG: fast and accurate protein orthologous group assignment
Author(s) -
Roman Feldbauer,
Lukas Gosch,
Lukas Lüftinger,
Patrick Hyden,
Arthur Flexer,
Thomas Rattei
Publication year - 2020
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/btaa1051
Subject(s) - group (periodic table) , computer science , computational biology , theoretical computer science , biology , chemistry , organic chemistry
Protein orthologous group databases are powerful tools for evolutionary analysis, functional annotation or metabolic pathway modeling across lineages. Sequences are typically assigned to orthologous groups with alignment-based methods, such as profile hidden Markov models, which have become a computational bottleneck.

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