Bayesian Estimation of Three-Dimensional Chromosomal Structure from Single-Cell Hi-C Data

The problem of three-dimensional (3D) chromosome structure inference from Hi-C data sets is important and challenging. While bulk Hi-C data sets contain contact information derived from millions of cells and can capture major structural features shared by the majority of cells in the sample, they do...

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Detalles Bibliográficos
Autores principales: Rosenthal, Michael, Bryner, Darshan, Huffer, Fred, Evans, Shane, Srivastava, Anuj, Neretti, Nicola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Mary Ann Liebert, Inc., publishers 2019
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6856950/
https://www.ncbi.nlm.nih.gov/pubmed/31211598
http://dx.doi.org/10.1089/cmb.2019.0100

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6856950/
https://www.ncbi.nlm.nih.gov/pubmed/31211598
http://dx.doi.org/10.1089/cmb.2019.0100

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