superphy Goto Github PK
Name: superphy
Type: Organization
Bio: Online predictive genomics
Location: Canada
Name: superphy
Type: Organization
Bio: Online predictive genomics
Location: Canada
Machine learning platform for bacterial genome sequence analysis
Machine learning methods to predict the anti-microbial resistance of Salmonella.
A pipeline for the identification of unique nucleotide markes across species of Brucella
Fast, Distributed Graph DB
Run Blazegraph in Docker
Fork adds support for Conda
Docker base image for running tox with Python 2.6, 2.7, 3.3, 3.4, 3.5, 3.6, 3.7, PyPy, and PyPy3.
Use CircleCI to build custom Docker images with combinations of common languages/dependencies
Uses machine learning to predict the host given an ecoli genome
python script that downloads all the genomes from enterobase
For cleaning fasta files
Front-end for superphy/spfy. Support submission of analysis tasks
Phylotyper: Predicting subtypes from WGS using phylogenetic trees and ancestral reconstruction
Using machine learning to predict E. coli phenotypes
Log-based transactional graph engine
Paper for MIC prediction in Salmonella
Phenotypic predictions based on pangeome regions
Application of semantic superphy to a biological problem, and the interesting results obtained.
Paper describing the platform architecture / functionality for the semantic web
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.