MACS (Model-based Analysis of ChIP-Seq) is an analysis tool for NGS ChIP-Seq data. MACS empirically models the length of the sequenced ChIP fragments and uses it to improve the spatial resolution of predicted binding sites.
MACS also uses a dynamic Poisson distribution to effectively capture local biases in the genome sequence, allowing for more sensitive and robust prediction. MACS compares can be used for ChIP-Seq with or without control samples.
Version on CSC's Servers
Taito: 1.4.2, 2.1.0
Chipster graphical user interface
To set up MACS commands in Taito, give commands:
module load biokit module load openblas/0.2.6 module load python
After that you can start MACS with command:
MACS can be run interactively in Taito-shell or as a batch job in Taito. Check chapter 3 of the Taito User Guide for more information on running batch jobs.