Gene structure identification with MyGV using cDNA evidence and protein homologs to improve ab initio predictions
Author(s) -
Wei Zhu,
Volker Brendel
Publication year - 2002
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/18.5.761
Subject(s) - identification (biology) , complementary dna , computational biology , ab initio , gene , genetics , biology , computer science , bioinformatics , chemistry , botany , organic chemistry
MyGV is an application to visualize (potentially genome-scale) gene structure annotation and prediction. The output of any external gene prediction program can be easily converted to a generalized format for input into MyGV. The application displays all input simultaneously in graphical representation, with a toggle option for a text-based view. Zooming capabilities allow detailed comparisons for specific genome locations. The tool is particularly helpful for refinement of ab initio predicted gene structures by spliced alignment with cDNA or protein homologs.
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