MICC: an R package for identifying chromatin interactions from ChIA-PET data.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 26231426.
- Also identified by DOI 10.1093/bioinformatics/btv445 and PMC identifier 4653385.
- Licence recorded as CC BY-NC.
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Abstract
ChIA-PET is rapidly emerging as an important experimental approach to detect chromatin long-range interactions at high resolution. Here, we present Model based Interaction Calling from ChIA-PET data (MICC), an easy-to-use R package to detect chromatin interactions from ChIA-PET sequencing data. By applying a Bayesian mixture model to systematically remove random ligation and random collision noise, MICC could identify chromatin interactions with a significantly higher sensitivity than existing methods at the same false discovery rate. http://bioinfo.au.tsinghua.edu.cn/member/xwwang/MICCusage michael.zhang@utdallas.edu or xwwang@tsinghua.edu.cn. Supplementary data are available at Bioinformatics online.
Medical subject headings
- Algorithms
- Bayes Theorem
- Chromatin
- Programming Languages
- Sequence Analysis, DNA