# crazyhottommy/RNA-seq-analysis

RNAseq analysis notes from Ming Tang

Repository: https://github.com/crazyhottommy/RNA-seq-analysis
Canonical: https://ross.abutalabs.com/products/rna-seq-analysis
Language: Python
License: MIT
License Family: permissive
Topics: rna-seq, snakemake
Last push: 2021-11-15T03:18:18+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4025, "days_push": 1752, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1096, forks 327 (observed 2026-08-28T04:03:34.380268+00:00)

## What it is
A curated collection of notes, tutorials, and links for RNA-seq data analysis maintained by Ming Tang. It aggregates external resources covering sequencing QC, file formats, differential expression, and pathway analysis workflows.

## Use cases
- learn RNA-seq analysis from scratch
- find tutorials for differential expression with DESeq2
- understand RNA-seq file formats and QC
- find pathway analysis resources for gene expression
- get started with Snakemake pipelines for RNA-seq
- locate bioinformatics training courses

## When to choose
- you are learning RNA-seq analysis and want a curated reading list
- you need pointers to established tutorials like kallisto/sleuth or data carpentry
- you want community-vetted best-practice references for transcriptomics

## When to avoid
- you need a ready-to-run production RNA-seq pipeline rather than learning materials
- you need actively maintained software with support
- you need single-cell or proteomics-specific guidance beyond the linked resources

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: bioinformatics, tutorials, data-science
- platform: python, cli
- tags: rna-seq, bioinformatics, snakemake, genomics, differential-expression, notes

## Member repositories
- crazyhottommy/RNA-seq-analysis (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:34.380268+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:47:10.146848+00:00, confidence not recorded.
  - readme: https://github.com/crazyhottommy/RNA-seq-analysis (fetched 2026-08-28T04:03:34.380268+00:00, sha 1c304ec0059a)
- Data as of 2026-08-30T08:39:29.467469+00:00.