RACS

RACS performs rapid processing and analysis of ChIP-Seq (Chromatin Immunoprecipitation with Next-Generation Sequencing) data to segregate read accumulations into genic and intergenic regions for contig-based genomes with minimal annotation.

Key Features:

• Efficient Data Processing: Processes ChIP-Seq datasets from organisms with contig-based genomes that often lack comprehensive gene annotations.
• Genic versus Intergenic Segregation: Segregates read accumulations into genic and intergenic regions to facilitate downstream analyses.
• High-Performance Computing Integration: Leverages High-Performance Computing techniques alongside established open-source software tools to accelerate analysis of large ChIP-Seq datasets.

Scientific Applications:

• ChIP-Seq analysis in poorly annotated genomes: Standardized processing of ChIP-Seq data for contig-based genomes with minimal annotation.
• Protein–DNA interaction mapping: Identification of protein-DNA associations across the genome from ChIP-Seq read accumulations.
• Chromatin and gene regulation studies: Characterization of chromatin-related proteins and their roles in gene expression mechanisms.

Methodology:

Processes raw ChIP-Seq data to segregate read accumulations into genic and intergenic regions using established open-source software and High-Performance Computing techniques; validated on Tetrahymena thermophila and Oxytricha trifallax datasets.