Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 250,000+ scientists worldwide. 177 ready-to-use validated skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
Entry level computational biology, bioinformatics, biostatistics and biotech data science jobs and internships, from employers' own job boards. Rebuilt every Monday. Maintained by Litos.
R toolkit for single cell genomics
Official git repository for Biopython (originally converted from CVS)
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
MMseqs2: ultra fast and sensitive search and clustering suite
Official code repository for GATK versions 4 and up
Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials Project.
Data intensive science for everyone.
Deep probabilistic analysis of single-cell and spatial omics data
Turn scattered health data into answers you can trace. Self-hosted AI health data engine for lab reports, wearables and genetics, with a built-in MCP server. Run it with Docker and one LLM key, or keep every model local on llama.cpp.
tools for working with genome variation graphs
scikit-bio: a community-driven Python library for bioinformatics, providing versatile data structures, algorithms and educational resources.
𧬠gget enables efficient querying of genomic reference databases
π¦ ClawBio - The first bioinformatics-native AI agent skill library. Local-first. Reproducible. Open. Free.
Cloud-native genomic dataframes and batch computing
cBioPortal for Cancer Genomics
Pysam is a Python package for reading, manipulating, and writing genomics data such as SAM/BAM/CRAM and VCF/BCF files. It's a lightweight wrapper of the HTSlib API, the same one that powers samtools, bcftools, and tabix.
Python library to handle Gene Ontology (GO) terms
A fast and sensitive gapped read aligner
A grammar of graphics for comparative genomics
Tools to process and analyze deep sequencing data.
Integrative Genomics Viewer. Fast, efficient, scalable visualization tool for genomics data and annotations
Versatile open-source tool for microbiome analysis
Embeddable genomic visualization component based on the Integrative Genomics Viewer
Official home of genome aligner based upon notion of Cactus graphs
C++ library and cmdline tools for parsing and manipulating VCF files with python and zig bindings
Rapid & standardized annotation of bacterial genomes, MAGs & plasmids
Fast, sensitive and accurate integration of single-cell data with Harmony
BioMCP: Biomedical Model Context Protocol
:book::microscope::coffee: BioJava is an open-source project dedicated to providing a Java library for processing biological data.
GTDB-Tk: a toolkit for assigning objective taxonomic classifications to bacterial and archaeal genomes.
Analysis pipeline to detect germline or somatic variants (pre-processing, variant calling and annotation) from WGS / targeted sequencing
Spatial Single Cell Analysis in Python
Command-first ATAC-seq footprinting, motif analysis, and reproducible interactive reports
NCBI Datasets is a new resource that lets you easily gather data from across NCBI databases.
Accurate sample inference from amplicon data with single nucleotide resolution
An analysis and visualization platform for 'omics data
DELLY2: Structural variant discovery by integrated paired-end and split-read analysis
Genomic sequence storage, indexing and alignment inside PostgreSQL: https://bioseqdb.com/
A configurable, open-source job-discovery system for biotech, genomics, computational biology, bioinformatics, and adjacent life-science roles.
A curated list of tools, foundation models, datasets and tutorials for spatial transcriptomics and single-cell analysis, ordered the way an analysis goes.
A fast, memory-efficient variant effect predictor written in Rust: a from-scratch reimplementation of the Ensembl Variant Effect Predictor (VEP) that takes the same inputs and flags, emits VEP's consequence vocabulary in VEP's output formats, and annotates population-scale callsets two orders of magnitude faster than the Perl implementation.
A biohacking and metabolic debugging protocol for developers. Optimize fat loss & mental performance using genetic nutrigenomics.