volcano-plot

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.

A complete bioinformatics pipeline (FastQC, fastp, HISAT2, featureCounts, DESeq2) for RNA-Seq DGE analysis of Klebsiella pneumoniae (WT vs. ΔcpxR).

Template R code for bioinformatics analysis pipeline of transcriptomic Illumina datasets

Automatic descriptor selection and volcano curve generation

Interactive Transcriptomics & DEG Visualization Dashboard

A shiny app for custom analyzes of preprocessed omics data

Useful R functions for Multi-omics analyses

Data for volcano3D package

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

a polar representation of multiple volcano plots

Transparent statistical pipeline for identifying biomarkers associated with neurological disease progression. Spearman correlations, Mann-Whitney group comparisons, volcano plots, and FDR correction.

Plotting Crystal, Glass, and Vesicle normalised components

Analyse d'expression différentielle de gènes avec le logiciel R

Reusable R/Bash scripts for RNA-Seq (DESeq2), VCF filtering, and multi-omics visualization (heatmaps, volcano plots)

This project visualizes Treatment-Emergent Adverse Events(TEAE) in a single graph.

Bayesian volcano plots bring together the explicit treatment of uncertainty in Bayesian models and the familiar visualization of volcano plots

Enhanced Interactive Volcano Plot for Metabolomics Studies 🌋

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.