Promoter-enhancer interactions identified from Hi-C data using probabilistic models and hierarchical topological domains
Proximity-ligation methods like Hi-C map DNA-DNA interactions and reveal its organization into topologically associating domains (TADs). Here the authors describe PSYCHIC, a computational approach for analysing Hi-C data that allows the identification of promoter-enhancer interactions.
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| Main Authors: | , , , |
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| Format: | article |
| Language: | EN |
| Published: |
Nature Portfolio
2017
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| Subjects: | |
| Online Access: | https://doaj.org/article/68db1c1c65d14e61bd6b9fb135f785e7 |
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| Summary: | Proximity-ligation methods like Hi-C map DNA-DNA interactions and reveal its organization into topologically associating domains (TADs). Here the authors describe PSYCHIC, a computational approach for analysing Hi-C data that allows the identification of promoter-enhancer interactions. |
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