Open AccessFunGAP: Fungal Genome Annotation Pipeline using evidence-based gene model evaluation
Author(s) -
Byoungnam Min,
Igor V. Grigoriev,
InGeol Choi
Publication year - 2017
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/btx353
Subject(s) - python (programming language) , annotation , gene prediction , genome , gene , computer science , homology (biology) , genome project , gene annotation , computational biology , software , biology , data mining , genetics , programming language
Successful genome analysis depends on the quality of gene prediction. Although fungal genome sequencing and assembly have become trivial, its annotation procedure has not been standardized yet.
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