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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Detalles Bibliográficos
Autores principales: Flyamer, Ilya M, Illingworth, Robert S, Bickmore, Wendy A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7214034/
https://www.ncbi.nlm.nih.gov/pubmed/32003791
http://dx.doi.org/10.1093/bioinformatics/btaa073

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7214034/
https://www.ncbi.nlm.nih.gov/pubmed/32003791
http://dx.doi.org/10.1093/bioinformatics/btaa073

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