General Information
| Description | An R package for identifying chromatin interactions from ChIA-PET data |
| Homepage | http://bioinfo.au.tsinghua.edu.cn/member/xwwang/MICCusage |
Publications
MICC: an R package for identifying chromatin interactions from ChIA-PET data
Summary:
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/MICCusage
Contact:
michael.zhang@utdallas.edu or xwwang@tsinghua.edu.cn
Supplementary information:
Supplementary data are available at Bioinformatics online.
Related Tools
HiBrowse
Published February 2014
Multi-purpose statistical analysis of genome-wide chromatin 3D organization
FastHiC
Published May 2016
A fast and accurate algorithm to detect long-range chromosomal interactions from Hi-C data
CAME
Published December 2016
Identification of chromatin accessibility from nucleosome occupancy and methylome sequencing
FAIR Evaluation
Sorry, you must be signed in to evaluate this object.
