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DMRichR

imported

software/dmrichr

A R package and executable for the preprocessing, statistical analysis, and downstream testing and visualization of differentially methylated regions (DMRs) from CpG count matrices (Bismark cytosine…

Machine-generated from the listed sources and not yet reviewed by a human.

DMRichR project image
GitHub preview card for ben-laufer/DMRichR. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
bioinformatics · biostatistics · cpg · dmrs · dna-methylation · em-seq · rrbs · tidyverse
Regulatory
unknown
built by · 3

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • ALLCoolsbioinformatics · dna-methylation

    Toolkit for single-cell DNA methylation analysis.

  • snsbioinformatics · rrbs

    Analysis pipelines for genomic sequencing data

  • epitidytidyverse

    R package to summarise, tidy up model outputs and generate raw tables in a Epidemiologist-way

  • tidyomicstidyverse

    Easily install and load packages from the tidyomics ecosystem

  • intro_to_rtidyverse

    A 2-week introduction to R programming course, with a focus on public health datasets

  • bagherabioinformatics · biostatistics

    Bayesian Gene Heritability Analysis from GWAS summary statistics

sources
  1. api.github.com/repos/ben-laufer/DMRichR
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2023-10-10, 50 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/62.json→ .entries["dmrichr"]

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