RGT: a toolbox for the integrative analysis of high throughput regulatory genomics data

RGT: a toolbox for the integrative analysis of high throughput regulatory genomics data

Abstract Background Massive amounts of data are produced by combining next-generation sequencing with complex biochemistry techniques to characterize regulatory genomics profiles, such as protein–DNA interaction and chromatin accessibility. Interpretation of such high-throughput data typically requi...

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Bibliographic Details
Main Authors: Zhijian Li, Chao-Chung Kuo, Fabio Ticconi, Mina Shaigan, Julia Gehrmann, Eduardo Gade Gusmao, Manuel Allhoff, Martin Manolov, Martin Zenke, Ivan G. Costa
Format: Article
Language:English
Published: BMC 2023-03-01
Series:BMC Bioinformatics
Subjects:
Regulatory genomics
Motif analysis
Intersection algebra
Visualization
Footprinting
Differential peaks
Online Access:https://doi.org/10.1186/s12859-023-05184-5

Internet

https://doi.org/10.1186/s12859-023-05184-5

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