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Boolean: (bicycle AND helmet) OR (head AND protection) (always group AND in parenthesis)
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10 items by relevance
1 Conference paper

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

Wang, Xiao; Hao, Dan; Kadarmideen, Haja

Proceedings of 10th International Conference on Computational Systems-biology and Bioinformatics — 2019

differentially methylated regions (GeneDMRs).

Year: 2019

Language: English

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2 Conference paper

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

Wang, Xiao; Kadarmideen, Haja

Proceedings of 27th Conference on Intelligent Systems for Molecular Biology and 18th European Conference on Computational Biology — 2019

Calculating methylation levels using bisulfite sequencing datasets like RRBS within a single gene could help investigate and identify the Gene-based Differentially Methylated Regions (GeneDMRs). Such GeneDMRs are better than single differentially methylated cytosines (DMCs), as it provides

Year: 2019

Language: English

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3 Journal article

GeneDMRs: An R Package for Gene-Based Differentially Methylated Regions Analysis

Wang, Xiao; Hao, Dan; Kadarmideen, Haja N

Journal of Computational Biology — 2020, Volume 28, Issue 3, pp. 304-316

, gene body, CpG island regions, and their overlapped regions and then identify the gene-based differentially methylated regions (GeneDMRs). In this study, R package GeneDMRs aims to facilitate computing gene-based methylation rate using next-generation sequencing-based methylome data. The user-friendly

Year: 2020

Language: English

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