# stephenturner/oneliners

Useful bash one-liners for bioinformatics.

Repository: https://github.com/stephenturner/oneliners
Canonical: https://ross.abutalabs.com/products/oneliners
License Family: other
Last push: 2023-09-09T21:23:36+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 4701, "days_push": 1089, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2026, forks 524 (observed 2026-08-28T04:06:06.830130+00:00)

## What it is
A curated collection of useful bash one-liners for bioinformatics, covering awk, sed, sort/uniq/cut, find/xargs/GNU parallel, seqtk, and GFF3 annotation tricks. It is a reference document rather than software, with some generally useful shell aliases included.

## Use cases
- extract and filter columns from bioinformatics text files with awk
- manipulate FASTA and sequence files from the command line
- learn awk and sed one-liners for genomic data processing
- find bash commands to parse GFF3 annotation files
- deduplicate and summarize tabular data in the shell
- set up useful bashrc aliases for bioinformatics work

## When to choose
- you work with genomic or bioinformatics text data on the Unix command line
- you want a quick reference of proven awk/sed one-liners instead of writing scripts
- you need to process FASTA, BED, or GFF files without installing heavy tools

## When to avoid
- you need a maintained software tool or library with a license and releases
- you want a GUI or pipeline framework rather than copy-paste shell commands
- you need Windows-native tooling without a Unix-like shell

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools, cli, data-science
- domain: bioinformatics, developer-tools
- platform: cli
- tags: cheatsheet, bash, awk, sed, one-liners, genomics, reference, command-line, linux, macos

## Member repositories
- stephenturner/oneliners (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:06.830130+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 2026-08-30T02:59:44.904622+00:00, confidence not recorded.
  - readme: https://github.com/stephenturner/oneliners (fetched 2026-08-28T04:06:06.830130+00:00, sha cf28d93a1bd6)
- Data as of 2026-08-30T08:39:29.467469+00:00.