Bioinformatics
Showing 29 of 29 projects
A Python framework for building analytical web applications and dashboards without writing JavaScript.
A collection of 134 ready-to-use Agent Skills for scientific research, covering genomics, drug discovery, clinical analysis, and more.
Open source implementation of AlphaFold 2, a deep learning system for highly accurate protein structure prediction.
A fully featured JavaScript library for graph theory (network) visualization and analysis.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
AlphaFold 3 is an AI model that predicts the 3D structures of proteins and their interactions with other biomolecules like DNA, RNA, and ligands.
A free, self-taught curriculum for learning bioinformatics using online courses from top universities.
A curated list of awesome R packages, frameworks, and software for data science and statistical computing.
A curated list of awesome R packages, frameworks, and software for data science and statistical computing.
A standalone, lightweight C library providing highly efficient generic data structures and algorithms with minimal dependencies.
A curated collection of Python libraries, tutorials, and tools for data science, from data wrangling to machine learning and visualization.
A collection of transformer protein language models for predicting structure, function, and designing proteins from sequences.
A curated list of awesome open-source bioinformatics software, libraries, and resources, primarily for command-line analysis.
A family of open-source deep learning models for accurate biomolecular interaction and binding affinity prediction, rivaling AlphaFold3 and physics-based methods.
A curated list of awesome open source healthcare software, libraries, tools, and resources.
A collection of cheminformatics and machine-learning software for molecular informatics, written in C++ with Python wrappers.
A trainable, memory-efficient PyTorch reproduction of AlphaFold 2 for protein structure prediction.
A multimodal protein language model for generative protein design and engineering by jointly reasoning over sequence, structure, and function.
A deep learning system for accurate protein structure and interaction prediction using a three-track neural network.
A fast RNA-seq aligner for mapping spliced transcript sequences to a reference genome.
A curated list of deep learning implementations and resources for biological research, with a focus on genomics.
A spaCy pipeline and models specifically designed for processing scientific and biomedical documents.
A multi-modal foundation model for state-of-the-art molecular structure prediction of proteins, small molecules, DNA, RNA, and glycosylations.
A suite of command-line tools for manipulating SAM, BAM, and CRAM files in next-generation sequencing data analysis.
A deep learning model for protein sequence design that generates amino acid sequences for given protein backbones.
Python implementation of the Boruta all-relevant feature selection method with scikit-learn compatibility.
A Python library for deep probabilistic modeling and analysis of single-cell and spatial omics data.
A transformer-based foundation model pretrained on millions of single-cell profiles for generative AI tasks in single-cell multi-omics.
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