GPRED-GC: a Gene PREDiction model accounting for 5 '- 3' GC gradient.

Prapaporn Techa-AngkoonKevin L ChildsYanni Sun

Published in: BMC bioinformatics (2019)

GPRED-GC can effectively predict genes with highly variable GC contents without manual intervention. It provides a useful complementary tool to existing ones such as Augustus for more sensitive gene discovery. The source code is freely available at https://sourceforge.net/projects/gpred-gc/.

Keyphrases

gas chromatography
genome wide
genome wide identification
randomized controlled trial
copy number
small molecule
dna methylation
gene expression
high throughput
genome wide analysis
quality improvement
high resolution
single cell