Enhancer prediction in the human genome by probabilistic modelling of the chromatin feature patterns

Enhancer prediction in the human genome by probabilistic modelling of the chromatin feature patterns

Abstract Background The binding sites of transcription factors (TFs) and the localisation of histone modifications in the human genome can be quantified by the chromatin immunoprecipitation assay coupled with next-generation sequencing (ChIP-seq). The resulting chromatin feature data has been succes...

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Bibliographic Details
Main Authors: Maria Osmala, Harri Lähdesmäki
Format: Article
Language:English
Published: BMC 2020-07-01
Series:BMC Bioinformatics
Subjects:
Enhancer
Probabilistic modelling
Classifier
ChIP-seq
Coverage pattern
Online Access:http://link.springer.com/article/10.1186/s12859-020-03621-3

Internet

http://link.springer.com/article/10.1186/s12859-020-03621-3

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