Open AccessCESAR 2.0 substantially improves speed and accuracy of comparative gene annotation
Author(s) -
Virag Sharma,
Peter Schwede,
Michael Hiller
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/btx527
Subject(s) - genome , annotation , gene prediction , gene , gene annotation , source code , computational biology , genome project , computer science , exon , coding (social sciences) , coding region , intron , biology , genetics , artificial intelligence , programming language , statistics , mathematics
Homology-based gene prediction is a powerful concept to annotate newly sequenced genomes. We have previously demonstrated that whole genome alignments can be utilized for accurate comparative coding gene annotation.
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