This package contains deep learning models and related scripts for RoseTTAFold
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Python package for graph neural networks in chemistry and biology
- deep-learning
- graph-neural-networks
- dgl
- cheminformatics
A Go package for engineering organisms.
- synthetic-biology
- synbio
- genetic-engineering
- molecular-biology
R package for detecting doublets in single-cell RNA sequencing data
A Python Package for Protein Dynamics Analysis
- python
- protein
- dynamics
SCENIC is an R package to infer Gene Regulatory Networks and cell types from single-cell RNA-seq data.
Native R and Python sample-deletion robustness for omics: candidate certificates, minimum deletion bounds, Bioconductor model refits and donor-level pseudobulk
- bioinformatics
- exact-optimization
- metabolomics
- paired-data
talk with NCBI entrez using R
A Python package for the identification, characterization and comparison of spatial clusters from spatial -omics data.
PhyloNetworks: a julia package with utilities for phylogenetic networks
Python package for image-based profiling
- cytominer
- microscopy
- morphological-profiling
- python
A tool for cell instance aware segmentation in densely packed 3D volumetric images
- segmentation
- deep-learning
- bioinformatics
- neural-network
NeuroAnatomy Toolbox: An R package for the (3D) visualisation and analysis of biological image data, especially tracings of single neurons.
- r
- neuroanatomy-toolbox
- cran
- neuron
Python package for analysis of multiomic single cell RNA-seq and ATAC-seq.