GeneTonic • Rank 16.5 • Science 59%

Enjoy your transcriptomic data and analysis responsibly - like sipping a cocktail

pmartr • Rank 13.3 • Science 59%

The pmartR R package provides functionality for quality control, normalization, exploratory data analysis, and statistical analysis of mass spectrometry (MS) omics data, in particular proteomic (either at the peptide or the protein level), lipidomic, and metabolomic data.

scarches • Rank 16.9 • Science 54%

Reference mapping for single-cell genomics

raer • Rank 12.9 • Science 57%

Characterize A-to-I RNA editing in bulk and single-cell RNA sequencing experiments

bambu • Rank 18.3 • Science 49%

Reference-guided transcript discovery and quantification for long read RNA-Seq data

pcaExplorer • Rank 17.9 • Science 49%

pcaExplorer - Interactive exploration of Principal Components of Samples and Genes in RNA-seq data

ideal • Rank 15.8 • Science 49%

Interactive Differential Expression AnaLysis - DE made accessible and reproducible

rnalysis • Rank 11.4 • Science 39%

Analyze your RNA sequencing data without writing a single line of code

workflows-nextflow • Rank 6.9 • Science 41%

Workflow management with Nextflow and nf-core

dasper • Rank 12.8 • Science 33%

Detecting Aberrant Splicing Events from RNA-sequencing data

https://github.com/broadinstitute/single_cell_portal • Rank 9.4 • Science 36%

Tutorials, workflows, and convenience scripts for Single Cell Portal

vidger • Rank 14.9 • Science 10%

Make rapid visualizations of RNA-seq data in R

factr • Rank 2.7 • Science 10%

factR: Functional Annotation of Custom-assembled Transcripts in R

bioinformatics-templates • Science 57%

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

snakemake_rnaseq • Science 57%

A Snakemake pipeline to go from fastq mRNA sequencing files to raw and normalised counts (usable for downstream EDA and differential analysis)

https://github.com/broadinstitute/single_cell_portal_core • Science 26%

Rails/Docker application for the Broad Institute's single cell RNA-seq data portal

bioc-rnaseq • Science 44%

Analysis and Interpretation of Bulk RNA-Seq Data using Bioconductor

srnadiff • Science 31%