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Coolpup.py: versatile pile-up analysis of Hi-C data
MOTIVATION: Hi-C is currently the method of choice to investigate the global 3D organization of the genome. A major limitation of Hi-C is the sequencing depth required to robustly detect loops in the data. A popular approach used to mitigate this issue, even in single-cell Hi-C data, is genome-wide...
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| Publicado no: | Bioinformatics |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7214034/ https://ncbi.nlm.nih.gov/pubmed/32003791 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btaa073 |
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