Promoter-enhancer interactions identified from Hi-C data using probabilistic models and hierarchical...
Promoter-enhancer interactions identified from Hi-C data using probabilistic models and hierarchical topological domains
About this item
Full title
Author / Creator
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
Subjects
More information
Scope and Contents
Contents
Proximity-ligation methods such as Hi-C allow us to map physical DNA–DNA interactions along the genome, and reveal its organization into topologically associating domains (TADs). As the Hi-C data accumulate, computational methods were developed for identifying domain borders in multiple cell types and organisms. Here, we present PSYCHIC, a computat...
Alternative Titles
Full title
Promoter-enhancer interactions identified from Hi-C data using probabilistic models and hierarchical topological domains
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_68db1c1c65d14e61bd6b9fb135f785e7
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_68db1c1c65d14e61bd6b9fb135f785e7
Other Identifiers
ISSN
2041-1723
E-ISSN
2041-1723
DOI
10.1038/s41467-017-02386-3
