tidybulk • Rank 17.4 • Science 49%

Brings bulk and pseudobulk transcriptomics to the tidyverse

differentialabundance • Rank 7.9 • Science 57%

Differential abundance analysis for feature/ observation matrices from platforms such as RNA-seq

ideal • Rank 15.8 • Science 49%

Interactive Differential Expression AnaLysis - DE made accessible and reproducible

curare • Rank 7.7 • Science 36%

Curare - A customizable and reproducible analysis pipeline for RNA-Seq experiments

GlimmaV2 • Rank 5.8 • Science 36%

interactive plots for differential expression analysis

volcano3d • Rank 15.7 • Science 23%

An R package to plot interactive three-way differential expression analysis

NBAMSeq • Rank 11.5 • Science 23%

Negative Binomial Additive Model for RNASeq Data

DEGreport • Rank 18.0 • Science 13%

Create a cromphensive report of DEG list coming from any analysis of RNAseq data

vidger • Rank 14.9 • Science 10%

Make rapid visualizations of RNA-seq data in R

deco • Rank 11.2 • Science 13%

DECO :: Decomposing heterogeneous population cohorts for patient stratification and discovery of biomarkers using omic data profiling. R package

manorm • Rank 6.8 • Science 13%

A robust model for quantitative comparison of ChIP-Seq data sets.

dimet • Science 65%

Differential analysis of targeted Isotope-labeled Metabolomics data

srnadiff • Science 31%

refinebio-examples • Science 44%

Example workflows for refine.bio data

pipelines_inmegen • Science 44%

Flujos de trabajos desarrollados y automatizados en el Intituto Nacional de Medicina Genómica para el procesamiento de datos genómicos y transcriptómicos.

https://github.com/arunbodd/serum-proteomics • Science 26%

This repository Contains analysis pipeline for processing and analyzing mass spectrometry proteomics data

futuriandge • Science 18%

This is a personal project focused on creating uniformal pipeline for processing RNA-seq data with the end goal to create a .Rdata object which can be imported into R/Shiny app for downstream analysis and hypothesis testing.