macs
Model-based Analysis of ChIP-Seq on short reads sequencers
Description
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.Upload more screenshots
Please help extend the collection of screenshots. Just make a screenshot and upload it here. You don't need to register or anything.
Upload a screenshotHint: upload an image here from your clipboard with Ctrl-V
Homepage
https://github.com/taoliu/MACS/
Install this software package
If the package is available for the distribution you are currently using on your computer then install the software by clicking on…
Install macs