dadi
github.com/ryangutenkunst/dadidadi is a bioinformatics tool for inferring demographic history and selection from genetic data using diffusion approximations, offering speed and flexibility in modeling population dynamics. It supports up to three populations with customizable parameters and provides efficient computational performance.
Sourced from
- GitHub — github.com/ryangutenkunst/dadi
- bio.tools — dadi
Related resources
Freely available tools for biological computing in Python, with included cookbook, packaging and thorough documentation. Part of the [Open Bioinformatics Foundation](http://open-bio.org/). Contains the very useful [Entrez](https://biopython.org/DIST/docs/api/Bio.Entrez-module.html) package for API access to the NCBI databases.
Deep learning-based variant caller
Minimap2 is an pairwise aligner for genomic and spliced nucleotide sequences. It can perform the assembly-to-assembly alignment, and works with gzip'd FASTQ, FASTA formats. It also finds overlaps between long-reads.
Curated library of 550+ medical research agent skills spanning evidence insights, protocol design, omics/clinical data analysis, and academic writing; each skill is reviewed through MedSkillAudit and compatible with Claude Code, Codex, Open Code, OpenClaw, and SKILL.md-compatible agents (AIPOCH, 1.2K+ stars, MIT License, 2026)
Burrow-Wheeler Aligner for pairwise alignment between DNA sequences.
First bioinformatics-native AI agent skill library enabling local-first, reproducible genomic and population-genetics research workflows built on OpenClaw (871+ stars, MIT License, 2026)