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

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

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_aa7f65e045db4daea184045b6c38d1dd

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

About this item

Full title

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

Publisher

England: BioMed Central Ltd

Journal title

Genome Biology, 2020-12, Vol.21 (1), p.303-303, Article 303

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

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....

Alternative Titles

Full title

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

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_aa7f65e045db4daea184045b6c38d1dd

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_aa7f65e045db4daea184045b6c38d1dd

Other Identifiers

ISSN

1474-760X,1474-7596

E-ISSN

1474-760X

DOI

10.1186/s13059-020-02215-9

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