ArticleBriefings in bioinformatics2019
PATRIC as a unique resource for studying antimicrobial resistance.
Article in Briefings in bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
71 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Large-scale assessment of antimicrobial resistance marker databases for genetic phenotype prediction: a systematic review.The Journal of antimicrobial chemotherapy · 2020Pooled it
- A comprehensive AMR genotype-phenotype database (CABBAGE).Nucleic acids research · 2026Article
- Prevalence and Genomic Characterization of mcr-1-Positive Escherichia coli from Livestock in Hunan Province, China (2016-2021).Current microbiology · 2026Article
- Development of New Drug Against Multidrug-ResistantPharmaceutics · 2026Article
- BV-BRC: a unified bacterial and viral bioinformatics resource with expanded functionality and AI integration.Nucleic acids research · 2026Article
- Antimicrobial Resistance in Bacterial Strains of Agricultural Interest: Predictions Based on Genomic Data.Antibiotics (Basel, Switzerland) · 2025Article
- Whole-genome sequence of Microbacterium enclense GM-13, isolated from field-grown bean in Sinaloa.BMC genomic data · 2025Article
- Prediction of antimicrobial resistance inMicrobiology spectrum · 2025Article
- Mitigating antimicrobial resistance by innovative solutions in AI (MARISA): a modified James Lind Alliance analysis.npj antimicrobials and resistance · 2025Article
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- Machine learning-based approach for identification of new resistance associated mutations from whole genome sequences ofBioinformatics advances · 2025Article
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- PanARGMiner (Pan-Genomic Antimicrobial Resistance Gene Miner): An advanced feature selection framework for extracting key resistance genes from pan-genomic datasets.Computational and structural biotechnology journal · 2025Article
- Diosgenin producingComputational and structural biotechnology journal · 2025Article
- Pathogenomic Insights intoLife (Basel, Switzerland) · 2024Article
- Genome-Guided Identification of Surfactin-ProducingInternational journal of molecular sciences · 2024Article
- AVM: A Manually Curated Database of Aerosol-transmitted Virus Mutations, Human Diseases, and Drugs.Genomics, proteomics & bioinformatics · 2024Article
- Comprehensive Genomic Analysis of UropathogenicPathogens (Basel, Switzerland) · 2024Article
- Whole-Genome Sequence Analysis of Antibiotic Resistance, Virulence, and Plasmid Dynamics in Multidrug-ResistantFoods (Basel, Switzerland) · 2024Article
- Genomic Differences Associated with Resistance and Virulence inMicroorganisms · 2024Article
11 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
29 authors.
Funding
Abstract
The Pathosystems Resource Integration Center (PATRIC, www.patricbrc.org) is designed to provide researchers with the tools and services that they need to perform genomic and other 'omic' data analyses. In response to mounting concern over antimicrobial resistance (AMR), the PATRIC team has been developing new tools that help researchers understand AMR and its genetic determinants. To support comparative analyses, we have added AMR phenotype data to over 15 000 genomes in the PATRIC database, often assembling genomes from reads in public archives and collecting their associated AMR panel data from the literature to augment the collection. We have also been using this collection of AMR metadata to build machine learning-based classifiers that can predict the AMR phenotypes and the genomic regions associated with resistance for genomes being submitted to the annotation service. Likewise, we have undertaken a large AMR protein annotation effort by manually curating data from the literature and public repositories. This collection of 7370 AMR reference proteins, which contains many protein annotations (functional roles) that are unique to PATRIC and RAST, has been manually curated so that it projects stably across genomes. The collection currently projects to 1 610 744 proteins in the PATRIC database. Finally, the PATRIC Web site has been expanded to enable AMR-based custom page views so that researchers can easily explore AMR data and design experiments based on whole genomes or individual genes.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.