GeneDMRs: an R package for Gene-based Differentially Methylated Regions analysis

Xiao Wang, Dan Hao, Haja Kadarmideen

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Abstract

Epigenetic changes in the genome affects phenotype variation, disease risks, drug targets among others and therefore comprehensive understanding and quantification of these changes are important in life sciences and human health research. DNA methylation is one of the most important epigenetic changes that occur in gene or promoter or gene body or CpG island regions restricting/promoting the gene transcription. Therefore, it is necessary to investigate the methylation levels within the gene, gene body, CpG island regions and their interactive regions and then identify the gene-based differentially methylated regions (GeneDMRs).
Original languageEnglish
Title of host publicationProceedings of 10th International Conference on Computational Systems-Biology and Bioinformatics
Number of pages1
Publication date2019
Publication statusPublished - 2019
Event10th International Conference on Computational Systems-Biology and Bioinformatics - Nice University, Nice, France
Duration: 4 Dec 20197 Dec 2019
Conference number: 10
https://csbio2019.inria.fr/

Conference

Conference10th International Conference on Computational Systems-Biology and Bioinformatics
Number10
LocationNice University
CountryFrance
CityNice
Period04/12/201907/12/2019
Internet address

Cite this

Wang, X., Hao, D., & Kadarmideen, H. (2019). GeneDMRs: an R package for Gene-based Differentially Methylated Regions analysis. In Proceedings of 10th International Conference on Computational Systems-Biology and Bioinformatics