Abstract
Summary
Capture-C is a member of the chromosome-conformation-capture family of experimental methods which probes the 3D organization of chromosomes within the cell nucleus. It provides high-resolution information on the genome-wide chromatin interactions from a set of 'target' genomic locations, and is growing in popularity as a tool for improving our understanding of cis-regulation and gene function. Yet, analysis of the data is complicated, and to date there has been no dedicated or easy-to-use software to automate the process. We present capC-MAP, a software package for the analysis of Capture-C data.Availability and implementation
Implemented with both ease of use and flexibility in mind, capC-MAP is a suit of programs written in C++ and Python, where each program can be run separately, or an entire analysis can be performed with a single command line. It is available under an open-source licence at https://github.com/cbrackley/capC-MAP, as well as via the conda package manager, and should run on any standard Unix-style system.Supplementary information
Supplementary data are available at Bioinformatics online.Full text links
Read article at publisher's site: https://doi.org/10.1093/bioinformatics/btz480
Read article for free, from open access legal sources, via Unpaywall: https://academic.oup.com/bioinformatics/article-pdf/35/22/4773/48977801/bioinformatics_35_22_4773.pdf
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Funding
Funders who supported this work.
European Research Council (1)
Grant ID: 648050
Medical Research Council (2)
Investigating chromatin and DNA structure to understand transcriptional regulation and genome stability
Prof Nick Gilbert, University of Edinburgh
Grant ID: MC_UU_12018/24
Understanding the regulation and topological organisation of DNA in the human genome
Prof Nick Gilbert, University of Edinburgh
Grant ID: MR/J00913X/1