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griffithlab/rnaseq_tutorial resource

Informatics for RNA-seq: A web resource for analysis on the cloud. Educational tutorials and working pipelines for RNA-seq analysis including an introduction to: cloud computing, critical file formats, reference genomes, gene annotation, expression, differential expression, alternative splicing, data visualization, and interpretation. observed · 2026-08-28

github.com/griffithlab/rnaseq_tutorial · R · NOASSERTION (other) observed · 2026-08-28

Health v2 · maintenance only

23/100

  • Activity 0
  • Release rhythm 8
  • Longevity 100

Flags: no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 4416
  • days_rel: n/a
  • days_push: 1190
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1435 stars · 613 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

An educational web resource and working pipeline for RNA-seq analysis on the cloud, covering file formats, reference genomes, expression and differential expression analysis, splicing, and visualization. This repository hosts code and materials for the tutorial, which is maintained for consistency with the published 2015 paper while the current version lives at rnabio.org.

Use cases

  • learn RNA-seq analysis from scratch
  • run an RNA-seq pipeline on AWS
  • learn cloud computing for bioinformatics
  • understand differential expression analysis
  • learn alternative splicing analysis
  • teach a genomics bioinformatics course
  • review RNA-seq file formats and gene annotation

When to choose

  • you want a structured, citable RNA-seq tutorial with a working cloud pipeline
  • you need course materials for teaching RNA-seq informatics
  • you want to learn Unix and AWS basics alongside RNA-seq analysis

When to avoid

  • you need the up-to-date version of the course (use rnabio.org instead)
  • you need production-ready RNA-seq software rather than educational materials
  • you need a maintained tool with active development

Facets

learning-resource · maturity maintenance

data-science data-visualization etl bioinformatics education tutorials cloud-computing cloud cli rna-seq bioinformatics genomics tutorial aws differential-expression r linux

1 source

Member repositories

RepositoryRoleHealth v2
griffithlab/rnaseq_tutorialmain23

For agents

markdown · JSON · MCP: product_card(name="griffithlab/rnaseq_tutorial")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem