RACS: rapid analysis of ChIP-Seq data for contig based genomes.

Alejandro SaettoneMarcelo PonceSyed Nabeel-ShahJeffrey Fillingham

Published in: BMC bioinformatics (2019)

The RACS computational pipeline presented in this report is an efficient and reliable tool to analyze genome-wide raw ChIP-Seq data generated in model organisms with poorly annotated contig-based genome sequence. Because RACS segregates the found read accumulations between genic and intergenic regions, it is particularly efficient for rapid downstream analyses of proteins involved in gene expression.

Keyphrases

genome wide
dna methylation
gene expression
electronic health record
high throughput
copy number
circulating tumor cells
single cell
big data
rna seq
loop mediated isothermal amplification
machine learning
data analysis