Official git repository for Biopython (originally converted from CVS)
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- bioinformatics
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Official git repository for Biopython (originally converted from CVS)
Official repository for the Boltz biomolecular interaction models
Code for running RFdiffusion
This package contains deep learning models and related scripts for RoseTTAFold
Chai-1, SOTA model for biomolecular structure prediction
Deep probabilistic analysis of single-cell and spatial omics data
Biological foundation modeling from molecular to genome scale
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.
🦖 ClawBio - The first bioinformatics-native AI agent skill library. Local-first. Reproducible. Open. Free.
Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments
Cloud-native genomic dataframes and batch computing
ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache Parquet. Apache 2 licensed.
Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis
Foundation Models for Genomics & Transcriptomics
Python package for graph neural networks in chemistry and biology
Official implementation for HyenaDNA, a long-range genomic foundation model built with Hyena
In-memory nucleotide sequence k-mer counting, filtering, graph traversal and more
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.
A Go package for engineering organisms.
C++ library and cmdline tools for parsing and manipulating VCF files with python and zig bindings
Fast, sensitive and accurate integration of single-cell data with Harmony
OmegaFold Release Code
Spatial Single Cell Analysis in Python