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Examples of using deep learning in Bioinformatics
A list of deep learning implementations in biology
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
Graph Network for protein-protein interface including language model features
Deep learning with bioinformatics
DNNGP: Deep neural network for genomic prediction
A pipeline used to identify different modes of duplicated gene pairs
Easily construct the ML species tree with single-copy gene shared by different species.
An R package to call oomycete effectors
Efficient evolution from protein language models
EigenFold: Generative Protein Structure Prediction with Diffusion Models
EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein
EquiDock: geometric deep learning for fast rigid 3D protein-protein docking
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
Improving RNA structure prediction through multitask learning on diverse crowdsourced data.
This repository contains the code for our manuscript - 'The evolution, evolvability, and engineering gene regulatory DNA'
R package for streamlined export of graphs and data tables.
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
ExUTR is a practical and powerful tool that enables rapid genome-wide 3'-UTR prediction from massive RNA-Seq data
A fully automated gene annotator from RNA-Seq expression data
Free Python Games
Eukaryotic Genome Annotation Pipeline
FunGAP: fungal Genome Annotation Pipeline
For genome assembly, annotation, and comparative genomics.
These are scripts that I use frequently in genome annotation projects. Some of them have evolved awkwardly so the code is difficult to follw
SDK for GPU accelerated genome assembly and analysis
Unix, R and python tools for genomics and data science
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.