mirror of
https://github.com/Ponce/slackbuilds
synced 2024-11-25 10:03:03 +01:00
16 lines
945 B
Text
16 lines
945 B
Text
MACS: Model-based Analysis of ChIP-Seq
|
|
|
|
Next generation parallel sequencing technologies made chromatin
|
|
immunoprecipitation followed by sequencing (ChIP-Seq) a popular
|
|
strategy to study genome-wide protein-DNA interactions, while creating
|
|
challenges for analysis algorithms. We present Model-based Analysis of
|
|
ChIP-Seq (MACS) on short reads sequencers such as Genome Analyzer
|
|
(Illumina / Solexa). 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.
|