TY  - JOUR
TI  - Model-based Analysis of ChIP-Seq (MACS)
AU  - Yong Zhang
AU  - Tao Liu
AU  - Clifford A. Meyer
AU  - Jérôme Eeckhoute
AU  - David S. Johnson
AU  - B Bernstein
AU  - Chad Nusbaum
AU  - R Myers
AU  - Myles Brown
AU  - Wei Li
AU  - X. Shirley Liu
PY  - 2008
JO  - Genome biology
DO  - 10.1186/gb-2008-9-9-r137
UR  - https://doi.org/10.1186/gb-2008-9-9-r137
AB  - We present Model-based Analysis of ChIP-Seq data, MACS, which analyzes data generated by short read sequencers such as Solexa's Genome Analyzer. MACS empirically models the shift size of ChIP-Seq tags, 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, allowing for more robust predictions. MACS compares favorably to existing ChIP-Seq peak-finding algorithms, and is freely available.
ER  -