Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
- drug-discovery
- quantum-chemistry
- deep-learning
- biology
Repository Index
70,234 visible repositories in the index
1–24 of 50 · Most stars
Official git repository for Biopython (originally converted from CVS)
- python
- bioinformatics
- genomics
- biopython
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
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
- python
- ecg
- eda
- emg
Deep probabilistic analysis of single-cell and spatial omics data
- scrna-seq
- variational-bayes
- variational-autoencoder
- cite-seq
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.
Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments
ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache Parquet. Apache 2 licensed.
Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis
Official implementation for HyenaDNA, a long-range genomic foundation model built with Hyena
- foundation-models
- genomics
- language-models
Official release of the ProGen models
- language-model
- protein
- generative-model
Generation of protein sequences and evolutionary alignments via discrete diffusion models
- discrete-diffusion
- generative-model
- multiple-sequence-alignment
- protein-sequences
C++ library and cmdline tools for parsing and manipulating VCF files with python and zig bindings
- variant-calling
- genomics
- vcf-manipulation
- genotyping
Spatial Single Cell Analysis in Python
- single-cell-rna-seq
- single-cell-genomics
- spatial-transcriptomics
- spatial-analysis
Official repository for the ProteinGym benchmarks
- benchmark
- computational-biology
- protein
- protein-design
Sequential regulatory activity predictions with deep convolutional neural networks.
Genomic Pretrained Network - GPN, GPN-MSA, PhyloGPN, GPN-Star
- dna
- language-model
- variant-effect-prediction
- genomics
Schema and generated objects for biolink data model and upper ontology
- biolink
- monarchinitiative
- gene-ontology
- datamodel
Bi-Directional Equivariant Long-Range DNA Sequence Modeling
Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
- histology
- wsi-images
- pan-cancer-analysis
- genomics
Ankh: Optimized Protein Language Model
Haplotype-aware CNV analysis from single-cell RNA-seq, ATAC-seq, and multiome
- cancer-genomics
- cnv-detection
- single-cell
- phylogeny
A Python package for the identification, characterization and comparison of spatial clusters from spatial -omics data.