Published August 14, 2020 | Version 0.9.0
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FAN-C: A Feature-rich Framework for the Analysis and Visualisation of Chromosome Conformation Capture Data

  • 1. Max Planck Institute for Molecular Biomedicine

Description

Chromosome conformation capture data, particularly from high-throughput approaches such as Hi-C, are typically very complex to analyse. Existing analysis tools are often single-purpose, or limited in compatibility to a small number of data formats, frequently making Hi-C analyses tedious and time-consuming. Here, we present FAN-C, an easy-to-use command-line tool and powerful Python API with a broad feature set covering matrix generation, analysis, and visualisation for C-like data (https://github.com/vaquerizaslab/fanc). Due to its compatibility with the most prevalent Hi-C storage formats, FAN-C can be used in combination with a large number of existing analysis tools, thus greatly simplifying Hi-C matrix analysis.

Notes

Work in the Vaquerizas lab is supported by the Max Planck Society, the Deutsche Forschungsgemeinschaft (DFG) Priority Programme SPP2202 Spatial Genome Architecture in Development and Disease (Project Ref VA 1456/1) and the Medical Research Council, UK.

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Related works

Is supplement to
Preprint: 10.1101/2020.02.03.932517 (DOI)