Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.

A modern chat interface for AI agents built with Next.js, Tailwind CSS, and TypeScript.

A data framework for biology. Makes your data queryable, traceable, reproducible, and FAIR. One API: lakehouse, lineage, feature store, ontologies, LIMS, ELN.

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…

GWAS Summary Statistics Data Harmonisation

Foldseek enables fast and sensitive comparisons of large structure sets.

A Computational Workflow for Designing Libraries of sgRNAs for CRISPR-Mediated Base Editing, and much more

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

An awesome repository of community-curated applications of ChatGPT and other LLMs in computational biology

A unifying representation of single cell expression profiles that quantifies similarity between expression states and generalizes to represent new studies without additional training.

Oxbow makes genomic data ready for high-performance analytics.

Customizable React loading spinner that looks like an atom

Grammar of Scalable Linked Interactive Nucleotide Graphics

Cellenium is a FAIR and scalable interactive visual analytics app for scRNA-Seq data (single-cell RNA sequencing).

Episcanpy: Epigenomics Single Cell Analysis in Python

A comprehensive tutorial about GWAS and PRS

A comprehensive library for computational molecular biology

For BioHackathon Europe 2021.

Python package for processing image-based profiling data

🪝 What's the latest version for each database?

A terminal-based presentation tool with colors and effects.

A tool for retrosynthetic planning

TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

Implementation of the method proposed in the paper "Efficient Multi-Objective Molecular Optimization in a Continuous Latent Space" by Robin Winter, Floriane Montanari, Andreas Steffen, Hans Briem, …

List of all the lessons learned, best practices, and links from my time studying machine learning

From apprentice to master (CC BY-NC-ND)

Fork and custom implementation of LineUp Library for Visual Analysis of Multi-Attribute