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FAN-C: a feature-rich framework for the analysis and visualisation of chromosome conformation capture data.

ABSTRACT: 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.

SUBMITTER: Kruse K

PROVIDER: S-EPMC7745377 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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FAN-C: a feature-rich framework for the analysis and visualisation of chromosome conformation capture data.

Kruse Kai K Hug Clemens B CB Vaquerizas Juan M JM

Genome biology 20201217 1

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://git ...[more]

PMID: 33334380

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