Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
- drug-discovery
- quantum-chemistry
- deep-learning
- biology
Repository Index
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Genome modeling and design across all domains of life
Official repository for the Boltz biomolecular interaction models
- binding-prediction
- drug-discovery
- protein-structure
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
- tensorflow
- deep-neural-network
- genomics
- science
Code for running RFdiffusion
Making Protein folding accessible to all!
- bioinformatics
- multiple-sequence-alignment
- protein-structure
- structure-prediction
R toolkit for single cell genomics
- human-cell-atlas
- single-cell-rna-seq
- single-cell-genomics
- cran
Single-cell analysis in Python. Scales to >100M cells.
- machine-learning
- data-science
- visualize-data
- transcriptomics
Reverse engineering SARS-CoV-2
- covid-19
An ultra-fast all-in-one FASTQ preprocessor (QC/adapters/trimming/filtering/splitting/merging...)
- fastq
- qc
- preprocessing
- filtering
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
- python
- ecg
- eda
- emg
This package contains deep learning models and related scripts for RoseTTAFold
MMseqs2: ultra fast and sensitive search and clustering suite
- bioinformatics
- sequence-clustering
- profile-search
- sequence-search
Official code repository for GATK versions 4 and up
Tools (written in C using htslib) for manipulating next-generation sequencing data
Data intensive science for everyone.
Deep probabilistic analysis of single-cell and spatial omics data
- scrna-seq
- variational-bayes
- variational-autoencoder
- cite-seq
The repository host gives no description.
- foundation-model
- gpt
- single-cell
Biological foundation modeling from molecular to genome scale
ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
- drug-repurposing
- deep-learning
- drug-target-interactions
- toolkit
Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments
Cloud-native genomic dataframes and batch computing
- genetics
- vcf
- genomics
- gwas
ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache Parquet. Apache 2 licensed.