MACS: Difference between revisions
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Project website: http://liulab.dfci.harvard.edu/MACS/ | Project website: http://liulab.dfci.harvard.edu/MACS/ | ||
To load MACS into your environment, use the following module command: | To load MACS into your environment, use the following module command: | ||
Revision as of 15:10, 20 March 2012
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MACS empirically models the length of the sequenced ChIP fragments, which tends to be shorter than sonication or library construction size estimates, 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 favorably to existing ChIP-Seq peak-finding algorithms, is publicly available open source, and can be used for ChIP-Seq with or without control samples.
Project website: http://liulab.dfci.harvard.edu/MACS/
To load MACS into your environment, use the following module command:
module load macs/macs