Code for running RFdiffusion
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This package contains deep learning models and related scripts for RoseTTAFold
Cloud-native genomic dataframes and batch computing
- genetics
- vcf
- genomics
- gwas
Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis
A Go package for engineering organisms.
- synthetic-biology
- synbio
- genetic-engineering
- molecular-biology
Generative biopolymer design with rich conditioning.
Official repository for the ProteinGym benchmarks
- benchmark
- computational-biology
- protein
- protein-design
GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations
Genomic sequence storage, indexing and alignment inside PostgreSQL: https://bioseqdb.com/
- alignment
- bioinformatics
- biology
- database
A Python package for the identification, characterization and comparison of spatial clusters from spatial -omics data.
TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524
- self-attention
- compound-protein-interaction
- transformercpi
- structure-free-virtual-sreening
Data visualisation web components for the life sciences.
- biohackeu21
- bioinformatics
- visualization
- webcomponents
The repository host gives no description.
GeneCompass
Learning cell communication from spatial graphs of cells
- tensorflow
- gnn
- glm
- cvae
PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
- computational-biology
- bioinformatics
- graph-convolution
- deep-learning
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
- cell-annotation
- multiplexed-imaging
- mpif