Literature DB >> 34672337

GPSmatch: An R Package for Comparing Genomic-binding Profile Similarity among Transcriptional Regulators using Customizable Databases.

Amy Dong1, Xiaomin Bao2,3,4.   

Abstract

SUMMARY: Eukaryotic gene expression requires coordination among hundreds of transcriptional regulators. To characterize a specific transcriptional regulator, identifying how it shares genomic-binding profiles with others can generate important insights into its action. As genomic data such as ChIP-Seq are being rapidly generated from individual labs, there is a demand for timely integration and analysis of these new data. We have developed an R package, GPSmatch (Genomic-binding Profile Similarity match), for calculating the Jaccard index to compare ChIP-Seq peaks from one experiment to the peaks of other ChIP-Seq experiments stored in a user-supplied customizable database. GPSmatch also evaluates the statistical significance of the calculated Jaccard index using a nonparametric Monte Carlo procedure. We show that GPSmatch is suitable for identifying transcriptional regulators that share similar genomic-binding profiles, which may unravel potential mechanistic actions of gene regulation. AVAILABILITY: The software is freely available at https://github.com/Bao-Lab/GPSmatch.
© The Author(s) (2021). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Year:  2021        PMID: 34672337      PMCID: PMC8756198          DOI: 10.1093/bioinformatics/btab728

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.931


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