# quinlan-lab/applied-computational-genomics

Applied Computational Genomics Course at UU: Spring 2020

Repository: https://github.com/quinlan-lab/applied-computational-genomics
Canonical: https://ross.abutalabs.com/products/applied-computational-genomics
Language: HTML
License: CC-BY-SA-4.0
License Family: other
Last push: 2024-04-05T20:52:29+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": 3677, "days_push": 880, "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 1131, forks 247 (observed 2026-08-28T04:03:42.457470+00:00)

## What it is
Course materials for the Applied Computational Genomics course at the University of Utah, including lecture slides, videos, and homework assignments. It teaches fundamental concepts and analysis strategies for genomic sequencing data such as alignment, variant calling, ChIP-seq, and RNA-seq.

## Use cases
- learn computational genomics from scratch
- self-study bioinformatics data analysis
- find lecture slides on DNA sequencing analysis
- learn Unix for genomics research
- understand ChIP-seq and RNA-seq workflows
- teach a university genomics analysis course

## When to choose
- you want a structured, university-level introduction to computational genomics
- you need free lecture slides and videos covering sequencing data analysis
- you are a student or researcher grounding yourself in genomics data formats and tools

## When to avoid
- you need production bioinformatics software rather than course materials
- you want interactive hands-on coding exercises with automated feedback
- you need advanced specialized topics beyond introductory sequencing analysis

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation
- domain: bioinformatics, education, tutorials
- platform: cli, cross-platform
- tags: genomics, computational-biology, course-materials, dna-sequencing, bioinformatics-education, lecture-slides

## Member repositories
- quinlan-lab/applied-computational-genomics (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:42.457470+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 2026-08-30T06:38:03.895380+00:00, confidence not recorded.
  - readme: https://github.com/quinlan-lab/applied-computational-genomics (fetched 2026-08-28T04:03:42.457470+00:00, sha ffd12692f267)
- Data as of 2026-08-30T08:39:29.467469+00:00.