A machine learning framework for the prediction of chromatin folding in Drosophila using epigenetic features

Technological advances have lead to the creation of large epigenetic datasets, including information about DNA binding proteins and DNA spatial structure. Hi-C experiments have revealed that chromosomes are subdivided into sets of self-interacting domains called Topologically Associating Domains (TA...

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Detalles Bibliográficos
Autores principales: Rozenwald, Michal B., Galitsyna, Aleksandra A., Sapunov, Grigory V., Khrameeva, Ekaterina E., Gelfand, Mikhail S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2020
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924456/
https://www.ncbi.nlm.nih.gov/pubmed/33816958
http://dx.doi.org/10.7717/peerj-cs.307

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924456/
https://www.ncbi.nlm.nih.gov/pubmed/33816958
http://dx.doi.org/10.7717/peerj-cs.307

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