antibiotic
bacbench-antibiotic-resistance-protein-sequences
Dataset for antibiotic resistance prediction from whole-bacterial genomes (protein sequences)
A dataset of 25,032 bacterial genomes across 39 species with antimicrobial resistance labels.
The genome protein sequences have been extracted from GenBank. Each row contains whole bacterial genome, with spaces
separating different contigs present in the genome.
The antimicrobial resistance labels have been extracted from Antibiotic Susceptibility Test (AST) Browser, accessed 23 Oct, 2024.)… See the full description on the dataset page: https://huggingface.co/datasets/macwiatrak/bacbench-antibiotic-resistance-protein-sequences.bacbench-antibiotic-resistance-protein-sequences
Dataset for antibiotic resistance prediction from whole-bacterial genomes (protein sequences)
A dataset of 25,032 bacterial genomes across 39 species with antimicrobial resistance labels.
The genome protein sequences have been extracted from GenBank. Each row contains whole bacterial genome, with spaces
separating different contigs present in the genome.
The antimicrobial resistance labels have been extracted from Antibiotic Susceptibility Test (AST) Browser, accessed 23 Oct, 2024.)… See the full description on the dataset page: https://huggingface.co/datasets/mbafca2/bacbench-antibiotic-resistance-protein-sequences.qiime2_antibiotic_microbiome_analysis
Soil Microbiome Responses to Antibiotic Contamination: A Dual-Marker Amplicon Analysis
Overview
This repository contains a fully reproducible computational pipeline for the analysis of soil microbial community responses to escalating antibiotic concentrations. The study employs a dual-marker amplicon sequencing approach, simultaneously profiling bacterial communities via the 16S rRNA gene (V3-V4 region) and fungal communities via the internal transcribed spacer… See the full description on the dataset page: https://huggingface.co/datasets/QasimHussain/qiime2_antibiotic_microbiome_analysis.bacbench-antibiotic-resistance-dna
Dataset for antibiotic resistance prediction from whole-bacterial genomes (DNA)
A dataset of 25,032 bacterial genomes across 39 species with antimicrobial resistance labels.
The genome DNA sequences have been extracted from GenBank. Each row contains whole bacterial genome, with spaces
separating different contigs present in the genome.
The antimicrobial resistance labels have been extracted from Antibiotic Susceptibility Test (AST) Browser, accessed 23 Oct, 2024.)
and include both… See the full description on the dataset page: https://huggingface.co/datasets/macwiatrak/bacbench-antibiotic-resistance-dna.antibiotic_resistance
Dataset Card for Antibiotic Resistance Dataset
Dataset Summary
Antibiotic resistance refers to the ability of bacteria and other microorganisms to resist the effects of an antibiotic to which they are once sensitive. In this task, an input protein sequence is categorized according to which of 19 antibiotics it is resistant to. Thus, the scope of antibiotic drug development and research could be explored as an understanding in this topic is accumulated.
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/proteinglm/antibiotic_resistance.Antibiotic
[!NOTE]
Dataset origin: https://portulanclarin.net/repository/browse/1c5ff916146911ebb6ec02420a0004094d31b044c80f4109bb228ff6f55a68e8/
Description
Multilingual (CEF languages) corpus acquired from the website https://antibiotic.ecdc.europa.eu/ . It contains 20981 TUs (in total) for EN-X language pairs, where X is a CEF language.
Citation
Not clear :/