The DOI matches its Crossref record; 89 of the 89 references it cites were found in a registry or an index.
FAN-C: a feature-rich framework for the analysis and visualisation of chromosome conformation capture data
Open accessAbstract
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.
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Cited by
Cooltools: Enabling high-resolution Hi-C analysis in Python
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Transcriptional coupling of distant regulatory genes in living embryos
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Independence of chromatin conformation and gene regulation during Drosophila dorsoventral patterning
Ing-Simmons, E., Vaid, R., Bing, X. Y., Levine, M., Mannervik, M., & Vaquerizas, J. M. (2021) · Nature Genetics · doi:10.1038/s41588-021-00799-x · Cited by 159
Self-citationChakraborty, S., Kopitchinski, N., Zuo, Z., Eraso, A., Awasthi, P., Chari, R., Mitra, A., Tobias, I. C., Moorthy, S. D., Dale, R. K., et al. (2023) · Nature Genetics · doi:10.1038/s41588-022-01295-6 · Cited by 120
Metadata
- Authors
- Kruse, K., Hug, C. B., & Vaquerizas, J. M.
- Venue
- Genome Biology
- Published
- 2020-12
- Volume
- 21
- Issue
- 1
- Pages
- 303-303
- ISSN
- 1465-6906 (ISSN-L)
- 1474-760X
- OpenAlex
- W3112752014
- Cited by
- 253
- References
- 89
- FWCI
- 6.15
- Type
- journal article
- Language
- en
- Open access
- gold
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- Kruse, K., Hug, C. B., & Vaquerizas, J. M. (2020). FAN-C: a feature-rich framework for the analysis and visualisation of chromosome conformation capture data. Genome Biology. https://doi.org/10.1186/s13059-020-02215-9
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