Find open-source science resources
A directory of tools, AI models, datasets, and research resources for biotech, bioinformatics, and other scientific fields. Aggregated from curated GitHub awesome-lists, HuggingFace, bio.tools, Bioconductor, and more.
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684 of 7,083 resources
Showing 601–650
A benchmarking platform for molecular generation models.
Diffusion model for scalable protein structure design with multi-motif scaffolding capabilities, achieving state-of-the-art designability, diversity, and novelty through SE(3)-equivariant attention and massive data augmentation (AlQuraishi Lab, 2024)
Partial-Order Alignment for fast alignment and consensus of multiple homologous sequences.
Pangolin is a deep-learning based method for predicting splice site strengths (for details, see Zeng and Li, Genome Biology 2022). It is available as a command-line tool that can be run on a VCF or CSV file containing variants of interest; Pangolin will predict changes in splice site strength due to each variant, and return a file of the same format. Pangolin's models can also be used with custom sequences.
Short Python script (using Biopython library functions) to extract sequences from a FASTA, QUAL, FASTQ, or SFF file based on the list of IDs given by a column of a tabular file. The output order follows that of the tabular file, and if there are duplicates in the tabular file, there will be duplicates in the output sequence file.
Automated data visualization with minimal code
Multi-disciplinary collaboration framework for zero-shot medical reasoning using role-playing LLM agents (ACL 2024)
Transformer architecture for high-energy physics that treats particle jets as unordered sets of constituent particles, using pairwise particle-particle attention to capture interparticle interactions; achieves state-of-the-art jet tagging on the large-scale JetClass benchmark and is widely adopted in LHC flavor-tagging pipelines (Meta FAIR & Penn State, 135+ stars, MIT License, 2023-2024)
Generative model for programmable protein design using diffusion modeling, equivariant graph neural networks, and conditional random fields to efficiently sample diverse all-atom structures; supports conditional generation via composable conditioners for substructure, symmetry, shape, and neural-network predictions; validated crystallographically (Generate Biomedicines, Nature 2023)
Large-scale PDF/LaTeX/JATS parsing to standardized JSON for millions of papers
[RDKit](http://www.rdkit.org/) and [OSRA](https://cactus.nci.nih.gov/osra/) in the [Bottle](http://bottlepy.org/docs/dev/) on [Tornado](http://www.tornadoweb.org/en/stable/).
Circlator is a tool to circularize genome assemblies. It will attempt to identify each circular sequence and output a linearised version of it. It does this by assembling all reads that map to contig ends and comparing the resulting contigs with the input assembly.
Content-Aware Image Restoration for Cryo-Transmission Electron Microscopy Data
BioContext contains modular JSON-LD contexts for bioinformatics data.
MIBiG (Minimum Information about a Biosynthetic Gene Cluster) is a data repository and associated data standard designed to describe biosynthetic gene clusters involved in the production of specialized metabolites. It also stores data on measured biological activities and links to other resources such as NCBI, NPAtlas, and ChEBI. MIBiG is used as a reference database, knowledgebase, and training dataset for machine learning.
file format conversion in Biopython in a convenient way.
Google DeepMind's AlphaFold-derived classifier for proteome-wide missense variant effect prediction, providing pathogenicity scores for all ~71M possible human missense variants and classifying 89% with 90% precision; pre-computed predictions are integrated into Ensembl VEP and UCSC Genome Browser to support clinical variant interpretation (Science 2023)
Open language model for mathematics (7B/34B) trained on Proof-Pile-2, outperforming Minerva at equal scale on MATH benchmark, with tool use and formal theorem proving in Lean without finetuning (EleutherAI, ICLR 2024)
AlphaPickle is a Python tool that converts AlphaFold and ColabFold output files into user-friendly CSV files and plots, enabling easy analysis and visualization of protein prediction data without requiring programming expertise. It processes .pkl, .json, and PDB files to extract and visualize metrics like pLDDT and PAE.
k-mer counting, filtering, and graph traversal.
A package for benchmarking of models for _de novo_ molecular design.
Molecular descriptor calculator based on [RDKit](http://www.rdkit.org/).
Protein structure prediction from ESM models
Huawei's 3D high-resolution global weather forecast model at 0.25° resolution, first AI method to comprehensively outperform traditional NWP across all variables and lead times, integrated into ECMWF operational forecasts (Nature 2023)
3D Equivariant Diffusion for Target-Aware Molecule Generation (ICLR2023)
Single-cell BERT for gene expression
PINN research collection
OpenChem is a deep learning toolkit for Computational Chemistry with PyTorch backend.
Secure text-to-visualization through standardized chart specifications
DGL-LifeSci is a [DGL](https://www.dgl.ai/)-based package for various applications in life science with graph neural network.
Write-once-read-many table for large datasets.
First foundation model for weather and climate by Microsoft, Vision Transformer-based architecture trained on heterogeneous datasets (ICML 2023)
First vision-and-language foundation model for pathology AI, fine-tuned from CLIP on 249K image-caption pairs, enabling open-ended visual-semantic search and zero-shot diagnosis across histopathology (Pathology Foundation, 376+ stars)
Screen a bacterial assembly (contigs/CDS or proteins) for nucleotide or protein sequences. Pipeline that screens for presence of genes of interest (GOI) in bacterial assemblies. Generates multiple CSVs and plots that describe which genes are present and how variable their sequence is. Can use DNA or protein query sequences (GOIs) and DNA contigs/fastas or protein fastas as database (db) to search in.
DeepDILI is a tool for Deep Learning-Powered Drug-Induced Liver Injury Prediction Using Model-Level Representation
An open, extensible Python framework for GPU-accelerated alchemical free energy calculations.
mtag is a Python-based command line tool for jointly analyzing multiple sets of GWAS summary statistics as described by Turley et. al. (2018). It can also be used as a tool to meta-analyze GWAS results.
Easily submitting PBS jobs with script template. Multiple input files supported.
A Library for Deep Learning in Biology and Chemistry.
A deep learning framework (based on Chainer) with applications in Biology and Chemistry.
A platform for graph-based molecular generation using graph neural networks.
Enables machine learning on three-dimensional molecular structure.
NuclearPhaser is a method for phasing of dikaryotic genomes into the two haplotypes using Hi-C contact graphs. This is an overview of the phasing pipeline for dikaryons.
a robust molecular representation learning framework against distribution shifts.
The Science Data Discovery Ontology (sddo) is being developed to provide a semantic foundation for the discovery of information managed by NASA's Science Mission Directorate. This information spans many scientific disciplines, fields and subfields, including heliophysics, earth science, planetary science, astrophysics, biology, astrobiology, and physical science. [from repository]
Filtering and trimming of long read sequencing data.
Open Drug Discovery Toolkit, a modular and comprehensive toolkit for use in cheminformatics, molecular modeling etc.
Toolkit for processing molecules, reactions and condensed graphs of reactions. Can be used for chemical standardization, MCS search, tautomers generation with backward compatibility to RDKit and NetworkX.