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MACS

MACS

Description

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.


Available

Version on CSC's Servers


Taito: 1.4.2, 2.1.0
Chipster graphical user interface


Usage

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:

macs14

or

macs2

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.


Discipline

Biosciences

References


Support

servicedesk@csc.fi


Manual