Nucleic Acids ResearchBioinformaticsPeer-reviewed journal article
cLoops2: a full-stack comprehensive analytical tool for chromatin interactions
Yaqiang CaoiD, Shuai LiuiD, Gang ReniD, Qingsong TangiD, Keji ZhaoiD
- Citations
- 41
- FWCI
- 2.43
- Field percentile
- top 9%
Abstract
Investigating chromatin interactions between regulatory regions such as enhancer and promoter elements is vital for a deeper understanding of gene expression regulation. The emerging 3D mapping technologies focusing on enriched signals such as Hi-TrAC/TrAC-looping, compared to Hi-C and variants, reduce the sequencing cost and provide higher interaction resolution for cis-regulatory elements. A robust pipeline is needed for the comprehensive interpretation of these data, especially for loop-centric analysis. Therefore, we have developed a new versatile tool named cLoops2 for the full-stack analysis of the 3D chromatin interaction data. cLoops2 consists of core modules for peak-calling, loop-calling, differentially enriched loops calling and loops annotation. Additionally, it also contains multiple modules to carry out interaction resolution estimation, data similarity estimation, features quantification and aggregation analysis, and visualization. cLoops2 with documentation and example data are open source and freely available at GitHub: https://github.com/YaqiangCao/cLoops2.
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- HiCORE: Hi-C analysis for identification of core chromatin loops with higher resolution and reliability
Hongwoo Lee, Pil Joon Seo·bioRxiv·Oct 1, 2020
- Accurate loop calling for 3D genomic data with cLoops
Yaqiang Cao, Zhaoxiong Chen, … Jing‐Dong J. Han·BioinformaticsPeer-reviewed·Aug 20, 2019
- Retrieving high-resolution chromatin interactionsand decoding enhancer regulatory potential in silico
Eduardo Gade Gusmao, Athanasia Mizi, … Argyris Papantonis·bioRxiv·Nov 10, 2020
- A supervised learning framework for chromatin loop detection in genome-wide contact maps
Tarik J. Salameh, Xiaotao Wang, … Feng Yue·Nature CommunicationsPeer-reviewed·Jul 9, 2020
- Loopsim: Enrichment Analysis of ChromosomeConformation Capture with Fast EmpiricalDistribution Simulation
Gideon Shaked, Haihan Zhang, … Lam C. Tsoi·NAR Genomics and BioinformaticsPeer-reviewed·Jul 4, 2025
- CHiCAGO: Robust Detection of DNA Looping Interactions in Capture Hi-C data
Jonathan Cairns, Paula Freire-Pritchett, … Mikhail Spivakov·Genome BiologyPeer-reviewed·Jun 15, 2016