Plascad is a computationally efficient tool designed for plasmids classification, antibiotic resistance genes (ARGs) annotation and plasmid visualization.
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Updated
Feb 2, 2021 - Python
Plascad is a computationally efficient tool designed for plasmids classification, antibiotic resistance genes (ARGs) annotation and plasmid visualization.
ARGs-OAP: Online Analysis Pipeline for Antibiotic Resistance Genes Detection from Metagenomic Data Using an Integrated Structured ARG Database
ARG normalization by mapping to the ARO ontology.
Extract discriminatory ARGs from metagenomics samples
Interpretable genotype-to-phenotype models with rule-based classifiers
Antibiotic discovery using graph deep learning, with Chemprop.
Visualise your isolate's antibiotic resistance profile
A simple package for simulations of microbial growth experiments with realistic sources of error.
Natural language processing chatbot answering questions about antibiotics and antibiotic resistance
An educational simple game in Italian/English that simulates interaction between antbiotics and bacteria.
Antibiotic Resistant Target Seeker (ARTS)
Simulator of Antibiotic Therapy Effects on the Dynamics of Bacterial Populations
Screen plasmids for carbapenemase resistance genes, and classify using MOB Suite
Antimicrobial resistance prediction app for KBase
A simple simulator that shows the easy way how an antibiogram works
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.
Antibiotic Resistance in Metagenomes
Epitypification pipeline for clinical NGS data. Written in NextFlow, Python & Bash.
Metabundance: Investigating ARG abundance in metagenomes and linking them to MGEs
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