Active surveillance of newly-admitted nursing home patients for colonization of antibiotic-resistant bacteria reveals that multiple lineages have spread across southeast Michigan healthcare networks.
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Updated
Jul 6, 2020 - R
Active surveillance of newly-admitted nursing home patients for colonization of antibiotic-resistant bacteria reveals that multiple lineages have spread across southeast Michigan healthcare networks.
An examination of genomic resistance and virulence of Escherichia marmotae dentified in deer faeces Portumna, Galway.
Natural language processing chatbot answering questions about antibiotics and antibiotic resistance
Java simulation of antibiotic resistance. Pretty cute.
A tool for AMR gene family prediction, simple and ML-based
This repository contains a Python-based genome assembler designed to perform k-mer spectrum-based error correction and generate SAM files for visualizing genome mappings. It supports genomic data analysis with a focus on identifying mutations relevant to antibiotic resistance.
Client Serive of ARGpore pipeline for the analysis of antibiotic resistance in nanopore reads
Reproducible scripts for the Su et al (2020) paper.
Virulence and Antibiotic Resistance Genes used with JASEN pipeline at the university hospital of Linköping, Sweden.
Early prediction of Antimicrobial Resistance (AMR) using Machine Learning
Sets of protein familes represented as profile HMMs annotated for antibiotic resistance and virulence function.
Citizen science project investigating antibiotic resistance in wildlife. A collaboration between Macquarie University, Taronga Zoo and University of Sydney
A simple simulator that shows the easy way how an antibiogram works
An educational simple game in Italian/English that simulates interaction between antbiotics and bacteria.
Antibiotic Resistant Target Seeker (ARTS)
Antibiotic Resistance in Metagenomes
An intelligent interface project targeted towards educating people of different ages about when and why to use antibiotic medication.
Interaction networks between antibiotic exposure, microbial factors and clinical features in nursing home patients influence the risk of catheter-associated urinary tract infection.
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