phylostratr: a framework for phylostratigraphy
Author(s) -
Zebulun Arendsee,
Jing Li,
Urminder Singh,
Arun S. Seetharam,
Karin S. Dorman,
Eve Syrkin Wurtele
Publication year - 2019
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/btz171
Subject(s) - clade , uniprot , inference , computer science , genome , source code , computational biology , homology (biology) , tree (set theory) , gene prediction , gene , biology , data mining , genetics , artificial intelligence , phylogenetics , programming language , mathematical analysis , mathematics
The goal of phylostratigraphy is to infer the evolutionary origin of each gene in an organism. This is done by searching for homologs within increasingly broad clades. The deepest clade that contains a homolog of the protein(s) encoded by a gene is that gene's phylostratum.
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