MACS
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- (rev. 3)
- Hyungyong Kim
Structured data
- About
- ChIP-seq
- Code Repository
- https://github.com/taoliu/MACS/
- Programming Language
- Python
- URL
- http://liulab.dfci.harvard.edu/MACS/
ChIP-seq, a popular strategy to study genome-wide protein-DNA interactions, while creating challenges for analysis algorithms. MACS is a Model-based Analysis of ChIP-Seq (MACS) on short reads sequencers such as Genome Analyzer (Illumina / Solexa).
Sub-commands
- callpeak: call peaks from BAM
- bdgpeakcall: call peaks from BED
- bdgbroadcall: call broad peaks from BED
Table of Contents
Incoming Links #
Related Medical Scholarly Articles (MedicalScholarlyArticle 0) #
Related Articles (Article 1) #
Related Codes (Code 2) #
Suggested Pages #
- 0.149 Targeted genes by ChIP-seq
- 0.085 NarrowPeaks
- 0.073 ChIP-PED
- 0.041 Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer
- 0.038 BED
- 0.038 BEDOPS
- 0.025 ELAND
- 0.025 NGS
- 0.025 Programming language
- 0.025 October 10
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