MEDIPS
MEDIPS, an R package, offers a sophisticated solution for analyzing DNA enrichment followed by sequencing data, a pivotal resource in molecular biology for genome-wide epigenetic studies. Addressing the need for efficient processing and comparison of sequencing data across experimental conditions, MEDIPS supports analyzing a wide range of sample sizes, from a few replicates to hundreds per condition, making it highly suitable for epigenome-wide association studies.
This major update to MEDIPS introduces the capability to handle an arbitrary number of replicates per group, incorporating advanced statistical methods for detecting differential coverage between experimental conditions. This enhancement broadens the applicability of MEDIPS to various types of quantitative sequencing data, facilitating robust and comprehensive analyses.
Additional functionalities introduced in this update include correlation analysis between samples, significantly enriching the data interpretation capabilities of MEDIPS. Leveraging Bioconductor's annotation databases, MEDIPS now offers streamlined annotation of specific genomic regions, enhancing its utility in epigenetic research.
Topic
Epigenetics;Sequencing;Methylated DNA immunoprecipitation
Detail
Operation: Methylation analysis
Software interface: Command-line user interface,Library
Language: R
License: GNU General Public License, version 2
Cost: Free
Version name: 1.54.0
Credit: German Federal Ministry of Education and Research with grant EPITREAT, Max Planck Society with IMPRS-CBSC program, Feodor Lynen Postdoctoral Research Fellowship, Alexander von Humboldt Foundation.
Input: -
Output: -
Contact: Lukas Chavez lukaschavez@ucsd.edu
Collection: -
Maturity: Stable
Publications
- MEDIPS: genome-wide differential coverage analysis of sequencing data derived from DNA enrichment experiments.
- Lienhard M, et al. MEDIPS: genome-wide differential coverage analysis of sequencing data derived from DNA enrichment experiments. MEDIPS: genome-wide differential coverage analysis of sequencing data derived from DNA enrichment experiments. 2014; 30:284-6. doi: 10.1093/bioinformatics/btt650
- https://doi.org/10.1093/bioinformatics/btt650
- PMID: 24227674
- PMC: PMC3892689
Download and documentation
Source: https://bioconductor.org/packages/release/bioc/src/contrib/MEDIPS_1.54.0.tar.gz
Documentation: https://bioconductor.org/packages/release/bioc/manuals/MEDIPS/man/MEDIPS.pdf
Home page: http://bioconductor.org/packages/release/bioc/html/MEDIPS.html
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