Curated (meta)list of resources for Biology.
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Native R and Python sample-deletion robustness for omics: candidate certificates, minimum deletion bounds, Bioconductor model refits and donor-level pseudobulk
A curated list of resources for machine learning for small-molecule drug discovery
Genomic sequence storage, indexing and alignment inside PostgreSQL: https://bioseqdb.com/
Data visualisation web components for the life sciences.
Apache cTAKES is a Natural Language Processing (NLP) platform for clinical text.
A tool for cell instance aware segmentation in densely packed 3D volumetric images
CASSIA: A Multi-Agent LLM-Based Single-Cell Cell Type Annotation Framework
We would like to maintain a list of resources which aim to solve molecular docking and other closely related tasks.
TypeDB Bio: Biomedical Knowledge Graph
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
:art: Image processing toolbox for R
Autonomous multi-agent framework to optimize scientific software
A library to build and execute typed scientific workflows
MCP server for spatial transcriptomics analysis through natural language interfaces.
Fast, deterministic cell-type deconvolution for million-bin spatial transcriptomics
UV-first benchmark for protein-ligand docking with reproducible annotation, pocket similarity, and HPC workflows.
Bioinformatics-themed kata for practicing string manipulation in a data transformation pipeline. Contains replit files to work quickly in an online dojo setting.