A Snakemake workflow and MrBiomics module for performing and visualizing differential analyses of NGS data powered by the R package limma.
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Updated
Mar 24, 2026 - R
A Snakemake workflow and MrBiomics module for performing and visualizing differential analyses of NGS data powered by the R package limma.
A Snakemake workflow and MrBiomics module for performing differential expression analyses (DEA) on (multimodal) sc/snRNA-seq data powered by the R package Seurat.
Automatic descriptor selection and volcano curve generation
Template R code for bioinformatics analysis pipeline of transcriptomic Illumina datasets
A shiny app for custom analyzes of preprocessed omics data
a polar representation of multiple volcano plots
Biplots, Volcano plots, PCA plots, Heatmaps and more Computational Genomics data created and visualized during University of Pittsburgh course, Computational Biology (BIOSC1540), with Dr. Miler Lee
Useful R functions for Multi-omics analyses
Reusable R/Bash scripts for RNA-Seq (DESeq2), VCF filtering, and multi-omics visualization (heatmaps, volcano plots)
Analyse d'expression différentielle de gènes avec le logiciel R
Transparent statistical pipeline for identifying biomarkers associated with neurological disease progression. Spearman correlations, Mann-Whitney group comparisons, volcano plots, and FDR correction.
This project visualizes Treatment-Emergent Adverse Events(TEAE) in a single graph.
A Shiny interface to analyse Olink data
Bioinformatics and statistical analysis of peer-reviewed papers in Dr. Martha Bhattacharya's lab at the University of Arizona. Overlaps with Itch, Endo, and Hippo repos
A multi-omics analysis framework for cancer survival prediction (KIRC/LUSC). Utilizes LASSO feature selection, Cox Regression, and Volcano plots to identify genomic biomarkers and predict patient outcomes from TCGA data.
Streamlit-based web application for scientific data cleaning, basic statistics, and interactive data visualization. Designed for researchers, students, and small labs to easily upload .csv or .tsv files, clean data, generate plots, and download results — all without writing code.
An R/Bioconductor pipeline for bulk RNA-seq differential expression analysis with downstream QC and visualization (e.g., PCA, heatmaps, volcano plots) using packages like DESeq2/edgeR.
An npm package containing rna-seq plots
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