Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
- drug-discovery
- quantum-chemistry
- deep-learning
- biology
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Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Official repository for the Boltz biomolecular interaction models
ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache Parquet. Apache 2 licensed.
:christmas_tree:Visualization and annotation of phylogenetic trees
Official implementation for HyenaDNA, a long-range genomic foundation model built with Hyena
A Go package for engineering organisms.
C++ library and cmdline tools for parsing and manipulating VCF files with python and zig bindings
Spatial Single Cell Analysis in Python
RNA Velocity generalized through dynamical modeling
UCE is a zero-shot foundation model for single-cell gene expression data
Native R and Python sample-deletion robustness for omics: candidate certificates, minimum deletion bounds, Bioconductor model refits and donor-level pseudobulk
RNA-seq prediction with deep convolutional neural networks.
Ankh: Optimized Protein Language Model
talk with NCBI entrez using R
Genomic sequence storage, indexing and alignment inside PostgreSQL: https://bioseqdb.com/
A Python package for the identification, characterization and comparison of spatial clusters from spatial -omics data.
Open-source software for exploring and analyzing large, high-dimensional image-derived data.
🏃 The go-to single-cell Foundation Model
Interpretable bilinear attention network with domain adaptation improves drug-target prediction.
Data visualisation web components for the life sciences.
The repository host gives no description.
Structural variant detection and association testing
Toolbox for the analysis of smFISH images.