A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
- drug-repurposing
- deep-learning
- drug-target-interactions
- toolkit
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A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
🦖 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.
WebGL accelerated JavaScript molecular graphics library
Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis
C library for high-throughput sequencing data formats
Foundation Models for Genomics & Transcriptomics
Precision Medicine Knowledge Graph (PrimeKG)
Open-source cross-platform symbolic algebra library for C# and F#. Can be used for both production and research purposes.
Arbitrary-precision arithmetic in pure Swift
Python package for graph neural networks in chemistry and biology
In-memory nucleotide sequence k-mer counting, filtering, graph traversal and more
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
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.
Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry
:1234: Bits, bytes and general-purpose calculator
C++ library and cmdline tools for parsing and manipulating VCF files with python and zig bindings
Interactive network visualization in Python and Dash, powered by Cytoscape.js
Lightweight, super fast C/C++ (& Python) library for sequence alignment using edit (Levenshtein) distance.