Dataset Information
MICC: an R package for identifying chromatin interactions from ChIA-PET data.
Ontology highlight
ABSTRACT: Unlabelled
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.Availability and implementation
http://bioinfo.au.tsinghua.edu.cn/member/xwwang/MICCusageContact
michael.zhang@utdallas.edu or xwwang@tsinghua.edu.cn.Supplementary information
Supplementary data are available at Bioinformatics online.
SUBMITTER: He C
PROVIDER: S-EPMC4653385 | biostudies-literature | 2015 Dec
REPOSITORIES: biostudies-literature
Publications
MICC: an R package for identifying chromatin interactions from ChIA-PET data.
Bioinformatics (Oxford, England) 20150731 23
<h4>Unlabelled</h4>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 sensitiv ...[more]
