Official git repository for Biopython (originally converted from CVS)
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Official git repository for Biopython (originally converted from CVS)
Official repository for the Boltz biomolecular interaction models
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
Chai-1, SOTA model for biomolecular structure prediction
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
R package for detecting doublets in single-cell RNA sequencing data
[ICLR 2024] DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genome
A Practical and Efficient NCBI Taxonomy Toolkit, also supports creating NCBI-style taxdump files for custom taxonomies like GTDB/ICTV
Sequential regulatory activity predictions with deep convolutional neural networks.
A dependency-free cross-platform swiss army knife for PDB files.
Multi-Omics Factor Analysis
GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations
Reference mapping for single-cell genomics
Genomic Pretrained Network - GPN, GPN-MSA, PhyloGPN, GPN-Star
Native R and Python sample-deletion robustness for omics: candidate certificates, minimum deletion bounds, Bioconductor model refits and donor-level pseudobulk
Schema and generated objects for biolink data model and upper ontology
RNA-seq prediction with deep convolutional neural networks.
Bi-Directional Equivariant Long-Range DNA Sequence Modeling
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)
Haplotype-aware CNV analysis from single-cell RNA-seq, ATAC-seq, and multiome
A Python package for the identification, characterization and comparison of spatial clusters from spatial -omics data.