Predicting enhancers in mammalian genomes using supervised hidden Markov models

Predicting enhancers in mammalian genomes using supervised hidden Markov models

Abstract Background Eukaryotic gene regulation is a complex process comprising the dynamic interaction of enhancers and promoters in order to activate gene expression. In recent years, research in regulatory genomics has contributed to a better understanding of the characteristics of promoter elemen...

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Bibliographic Details
Main Authors: Tobias Zehnder, Philipp Benner, Martin Vingron
Format: Article
Language:English
Published: BMC 2019-03-01
Series:BMC Bioinformatics
Subjects:
Enhancer prediction
Epigenetics
Gene regulation
Supervised hidden Markov models
Online Access:http://link.springer.com/article/10.1186/s12859-019-2708-6

Internet

http://link.springer.com/article/10.1186/s12859-019-2708-6

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