197 bioinformatics & life science skills for Claude Code and AI agents — BixBench 92.0% accuracy. RNA-seq, single-cell, drug discovery, proteomics, and more. Powers OmicsHorizon.

Explainable Machine Learning in Survival Analysis

Open source bioinformatics and computational biology toolbox written in F#. This is the core package containing type models and parsers/writers.

VerifyBamID2: A robust tool for DNA contamination estimation from sequence reads using ancestry-agnostic method.

SurvSHAP(t): Time-dependent explanations of machine learning survival models

Toolbox for biostatistics and clinical data analysis in R. Developed by the biostatistics team at Laboratorios Sophia S.A. de C.V.

Biostatistics resources : reading list, RMarkdown notebooks, and more!

📗handbook of biostatistic and R

🎯 📕 Targeted Learning in R: A Causal Data Science Handbook

Group sequential design for clinical trials

A R package and executable for the preprocessing, statistical analysis, and downstream testing and visualization of differentially methylated regions (DMRs) from CpG count matrices (Bismark cytosine reports)

Claude Code skills for medical research — literature search, reporting guidelines, statistical analysis, publication figures. Built by a physician-researcher, tested on real publications. MIT licensed.

Conquering confounds and covariates: methods, library and guidance

SAS code snippets

R package for High dimensional data analysis and integration with O2PLS!

R package for fitting joint models to time-to-event data and multivariate longitudinal data

A Python package for gene network analysis

Clinical Trial Simulations

Analysis of simulation studies including Monte Carlo error

Power and Sample Size Calculation