TRESS
The software tool 'TRESS' addresses the analysis of mRNA epigenetic modifications using MeRIP-seq data. It introduces a statistical method based on an empirical Bayesian hierarchical model designed to identify modification regions while accommodating various sources of variation across replicates. The approach employs shrinkage estimation, leveraging information from transcriptome-wide data to enhance parameter stability.
Topic
Epigenetics;Gene transcripts;RNA immunoprecipitation;Methylated DNA immunoprecipitation;RNA-Seq
Detail
Operation: Peak calling;Gene expression profiling;Methylation calling
Software interface: Library
Language: R
License: The GNU General Public License v3.0
Cost: Free
Version name: 1.8.0
Credit: National Institute of Health (NIH).
Input: -
Output: -
Contact: Zhenxing Guo guozhenxing@cuhk.edu.cn
Collection: -
Maturity: Stabel
Publications
- Detecting m6A methylation regions from Methylated RNA Immunoprecipitation Sequencing.
- Guo Z, et al. Detecting m6A methylation regions from Methylated RNA Immunoprecipitation Sequencing. Detecting m6A methylation regions from Methylated RNA Immunoprecipitation Sequencing. 2021; 37:2818-2824. doi: 10.1093/bioinformatics/btab181
- https://doi.org/10.1093/BIOINFORMATICS/BTAB181
- PMID: 33724304
- PMC: PMC9991887
Download and documentation
Source: https://bioconductor.org/packages/release/bioc/src/contrib/TRESS_1.8.0.tar.gz
Documentation: https://bioconductor.org/packages/release/bioc/manuals/TRESS/man/TRESS.pdf
Home page: https://bioconductor.org/packages/release/bioc/html/TRESS.html
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