Genome modeling and design across all domains of life
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DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
- tensorflow
- deep-neural-network
- genomics
- science
Code for running RFdiffusion
This package contains deep learning models and related scripts for RoseTTAFold
ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
- drug-repurposing
- deep-learning
- drug-target-interactions
- toolkit
Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments
ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache Parquet. Apache 2 licensed.
Foundation Models for Genomics & Transcriptomics
:christmas_tree:Visualization and annotation of phylogenetic trees
- r
- visualization
- phylogenetic-trees
- annotations
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
- kmer
- dnabert-model
- kmer-format
- gpu
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
- deep-learning
- protein-sequences
- protein-structure
- semi-supervised-learning
Fast, sensitive and accurate integration of single-cell data with Harmony
Spatial Single Cell Analysis in Python
- single-cell-rna-seq
- single-cell-genomics
- spatial-transcriptomics
- spatial-analysis
Lightweight, super fast C/C++ (& Python) library for sequence alignment using edit (Levenshtein) distance.
- sequence-alignment
- edit-distance
- levehnstein-distance
- library
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
Sequential regulatory activity predictions with deep convolutional neural networks.
GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations
Schema and generated objects for biolink data model and upper ontology
- biolink
- monarchinitiative
- gene-ontology
- datamodel
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)
Haplotype-aware CNV analysis from single-cell RNA-seq, ATAC-seq, and multiome
- cancer-genomics
- cnv-detection
- single-cell
- phylogeny
talk with NCBI entrez using R