Official release of the ProGen models
- language-model
- protein
- generative-model
Repository Index
47,133 repositories indexed
25–48 of 111 · Most stars
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
Fast, sensitive and accurate integration of single-cell data with Harmony
Lightweight, super fast C/C++ (& Python) library for sequence alignment using edit (Levenshtein) distance.
- sequence-alignment
- edit-distance
- levehnstein-distance
- library
Spatial Single Cell Analysis in Python
- single-cell-rna-seq
- single-cell-genomics
- spatial-transcriptomics
- spatial-analysis
R package for detecting doublets in single-cell RNA sequencing data
Generative biopolymer design with rich conditioning.
[ICLR 2024] DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genome
- dataset
- dna
- dna-processing
- dna-training
A tool for semi-automatic cell type classification
- python
- single-cell
- machine-learning
- scrna-seq
SCENIC is an R package to infer Gene Regulatory Networks and cell types from single-cell RNA-seq data.
Graph-linked unified embedding for single-cell multi-omics data integration
- bioinformatics
- deep-learning
- single-cell
- single-cell-multiomics
Official repository for the ProteinGym benchmarks
- benchmark
- computational-biology
- protein
- protein-design
A Practical and Efficient NCBI Taxonomy Toolkit, also supports creating NCBI-style taxdump files for custom taxonomies like GTDB/ICTV
- bioinformatics
- taxonomy
- cross-platform
- lineage
Sequential regulatory activity predictions with deep convolutional neural networks.
A dependency-free cross-platform swiss army knife for PDB files.
- python
- protein
- pdb
- bioinformatics
Benchmarking analysis of data integration tools
The repository host gives no description.
GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations
Reference mapping for single-cell genomics
- single-cell
- deep-learning
- rna-seq-analysis
- data-integration
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
- bioinformatics
- exact-optimization
- metabolomics
- paired-data
Schema and generated objects for biolink data model and upper ontology
- biolink
- monarchinitiative
- gene-ontology
- datamodel
Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
- histology
- wsi-images
- pan-cancer-analysis
- genomics