superphy Goto Github PK

acheron

Machine learning platform for bacterial genome sequence analysis

amr_predictor

Machine learning methods to predict the anti-microbial resistance of Salmonella.

ashlynn-prop

brucella

brucella_pipeline

A pipeline for the identification of unique nucleotide markes across species of Brucella

brucella_project_preliminary

dgraph

Fast, Distributed Graph DB

diffpool

docker-blazegraph

Run Blazegraph in Docker

docker-flask-conda

Fork adds support for Conda

docker-tox-base

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.

dockerfile-wizard

Use CircleCI to build custom Docker images with combinations of common languages/dependencies

ecolihostpredictor

Uses machine learning to predict the host given an ecoli genome

enterobase_downloader

python script that downloads all the genomes from enterobase

fasta_cleaner

For cleaning fasta files

gamechanger

gobin

grouch

Front-end for superphy/spfy. Support submission of analysis tasks

host_predict

insilico-subtyping

Phylotyper: Predicting subtypes from WGS using phylogenetic trees and ancestral reconstruction

kmer

Using machine learning to predict E. coli phenotypes

lemongraph

Log-based transactional graph engine

manuamr

Paper for MIC prediction in Salmonella

moreserotype

ont-nextflow

pangamr

panpredic

Phenotypic predictions based on pangeome regions

pans_labyrinth

paper_application

Application of semantic superphy to a biological problem, and the interesting results obtained.

paper_platform

Paper describing the platform architecture / functionality for the semantic web