Hundreds of agent skills for medical research, including protocol design, data analysis, evidence insights, and academic writing.

A python library for multi omics included bulk, single cell and spatial RNA-seq analysis.

Cell type annotation for single-cell RNA-seq using multi-LLM consensus

pySCENIC is a lightning-fast python implementation of the SCENIC pipeline (Single-Cell rEgulatory Network Inference and Clustering) which enables biologists to infer transcription factors, gene regulatory networks and cell types from single-cell RNA-seq data.

PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.

A tool for semi-automatic cell type classification

Graph-linked unified embedding for single-cell multi-omics data integration

rapids-singlecell: GPU-accelerated framework for scRNA analysis

DANCE: a deep learning library and benchmark platform for single-cell analysis

Single cell perturbation prediction

Single-cell perturbation analysis

LIANA+: an all-in-one framework for cell-cell communication

Python package to perform enrichment analysis from omics data.

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.

Multi-omic single-cell optimal transport tools

Infer copy number variation (CNV) from scRNA-seq data. Plays nicely with Scanpy.

RNA velocity estimation in Python

scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks

Conversational & memory-enabled AI research partner for multi-omics analysis. CLI + Desktop App (installers in Releases). From biological idea to full research paper.

Deep neural networks for predicting CpG methylation