NGS-Integrator: An efficient tool for combining multiple NGS data tracks using minimum Bayes’ factors

Abstract Background Next-generation sequencing (NGS) is widely used for genome-wide identification and quantification of DNA elements involved in the regulation of gene transcription. Studies that generate multiple high-throughput NGS datasets require data integration methods for two general tasks:...

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Bibliographic Details
Main Authors: Bronte Wen, Hyun Jun Jung, Lihe Chen, Fahad Saeed, Mark A. Knepper
Format: Article
Language:English
Published: BMC 2020-11-01
Series:BMC Genomics
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12864-020-07220-7

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