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jaxQTL is a flexible and efficient sc-eQTL mapping framework using count-based models, designed to analyze sparse counts in scRNA-seq data and large datasets. It has been shown to identify more eGenes compared with existing approaches, improving our ability to identify distal eQTLs.

PathForge is a modular benchmarking framework for multiple instance learning in computational pathology. It supports whole slide image feature extraction, HDF5 artifact generation, tile overviews, benchmarking, pipeline optimization, classification, regression, survival and retrieval tasks, and support for model inference and visualization.

Composable computational-science methodology skills for AI research agents emphasizing pre-registration, reproducible workspaces, and red-team review to guard against p-hacking and HARKing; zero third-party dependencies and runs with any agent harness plus a POSIX shell (281+ stars, MIT License, 2026)

PathBench-MIL is a comprehensive, flexible benchmarking/AutoML framework for multiple instance learning in histopathology. PathBench-MIL is expected to be deprecated and replaced by PathForge.

Galaxy Tool Shed repositories maintained and developed by the GalaxyP community

Terminal AI coding assistant with a built-in math formalization engine that converts plain-language math problems into Lean 4 theorems and attempts formal proofs; bundles a local Lean toolchain and WebUI for interactive mathematical reasoning (math-ai-org, 582+ stars, 2026)

Databank of optimised macromolecular structures. PDB-REDO entries are refined, rebuilt and validated with one consistent protocol using the equivalent entry in the Protein Data Bank and its experimental data. PDB-REDO entries typically have higher structural quality and a better fit to the experimental data.

D-GENIES – for Dot plot large Genomes in an Interactive, Efficient and Simple way – is an online tool designed to compare two genomes. It supports large genome and you can interact with the dot plot to improve the visualization.

Efficient foundation model and benchmark for multi-species genome understanding with context-aware nucleotide representations, improving upon DNABERT for diverse genomic task transfer learning (UIUC MAGICS Lab, 484+ stars)

The Data Science Ontology is a research project of IBM Research AI and Stanford University Statistics. Its long-term objective is to improve the efficiency and transparency of collaborative, data-driven science.

The midlevel energy ontology (MENO) is a BFO-based midlevel ontology. It comprises the concepts for energy qualities, energy-based dispositions and energy-driven transformation and transfer processes and their interrelations. It has the goal to provide an upper level structure for these concepts for energy-related domain ontologies.

Syntax Highlighting for Computational Biology file formats (SAM, VCF, GTF, FASTA, PDB, etc...) in vim/less/gedit/sublime.

SEACR: Sparse Enrichment Analysis for CUT&RUN

A cross-system scripting language for working with big data pipelines in computer systems of different sizes and capabilities.

Virtual machine with all software and sample data to run 3D-e-Chem Knime workflows

Bin Chicken - recovery of low abundance and taxonomically targeted metagenome assembled genomes (MAGs) through strategic coassembly

Simple test framework for Nextflow pipelines