An R package for phenotype generation and association testing for phenome wide associations studies (PheWAS)

Infer demography, mutation, and selection from millions of genomes

The PheWAS R package

Chai-1, SOTA model for biomolecular structure prediction

Repository for resources we'd like to share with the community.

hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating the results on an independent validation set. hgboost can be …

一个 Valine 的拓展应用，用来增强 Valine 的邮件通知。

Cross-population fine-mapping

NVIDIA Linux open GPU kernel module source

🌲 An easy-to-use and scalable toolkit for genomic alteration signature (a.k.a. mutational signature) analysis and visualization in R https://shixiangwang.github.io/sigminer/reference/index.html

PhyloAln: a convenient reference-based tool to align sequences and high-throughput reads for phylogeny and evolution in the omic era

Implementation of Alphafold 3 in Pytorch

Assignment of known mutational signatures to individual samples and individual somatic mutations

A comprehensive toolkit for mutational signature analysis

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

This repository contains xr-seq and damage-seq pipelines.

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

GWAS Tutorial for Beginners

OpenFE: automated feature generation with expert-level performance

The complete sequence of a human genome

🧬 Nucleotide Transformer: Building and Evaluating Robust Foundation Models for Human Genomics

Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)

Fast and Accurate ML in 3 Lines of Code

Fast and customizable framework for automatic ML model creation (AutoML)

Genomic Pre-trained Network

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.