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NanoARG: A web service for identification of antimicrobial resistance elements from nanopore-derived environmental metagenomes
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Asymptomatic People May Contribute to Dengue Transmission
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WHO Survey Reveals Misconceptions About Antibiotic Resistance
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Occurrence and abundance of tetracycline, sulfonamide resistance genes, and class 1 integron in five wastewater treatment plants
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[5] Rapid and sensitive sequence comparison with FASTP and FASTA
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Assessing the performance of the Oxford Nanopore Technologies MinION
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Antibiotics and antibiotic resistance in water environments
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Antibiotic resistance in the environment: a link to the clinic?
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Analysis of the bacterial community in a laboratory-scale nitrification reactor and a wastewater treatment plant by 454-pyrosequencing
inferredcites →https://doi.org/10.1016/j.watres.2017.07.002openalex-snapshot
Metagenomic analysis reveals wastewater treatment plants as hotspots of antibiotic resistance genes and mobile genetic elements
inferredcites →https://doi.org/10.1021/acs.est.5b03522openalex-snapshot
Metagenomic Assembly Reveals Hosts of Antibiotic Resistance Genes and the Shared Resistome in Pig, Chicken, and Human Feces
inferredcites →https://doi.org/10.1038/ismej.2013.189openalex-snapshot
Quantitative and qualitative impact of hospital effluent on dissemination of the integron pool
inferredcites →https://doi.org/10.1038/ismej.2014.226openalex-snapshot
Using the class 1 integron-integrase gene as a proxy for anthropogenic pollution
inferredcites →https://doi.org/10.1038/ismej.2015.59openalex-snapshot
Metagenomic and network analysis reveal wide distribution and co-occurrence of environmental antibiotic resistance genes
inferredcites →https://doi.org/10.1038/ismej.2016.155openalex-snapshot
Co-occurrence of antibiotic and metal resistance genes revealed in complete genome collection
inferredcites →https://doi.org/10.1038/nature08821openalex-snapshot
A human gut microbial gene catalogue established by metagenomic sequencing
inferredcites →https://doi.org/10.1038/nature13377openalex-snapshot
Bacterial phylogeny structures soil resistomes across habitats
inferredcites →https://doi.org/10.1038/nature17672openalex-snapshot
Interconnected microbiomes and resistomes in low-income human habitats
inferredcites →https://doi.org/10.1038/nbt.2862openalex-snapshot
Sailfish enables alignment-free isoform quantification from RNA-seq reads using lightweight algorithms
inferredcites →https://doi.org/10.1038/nbt.3103openalex-snapshot
MinION nanopore sequencing identifies the position and structure of a bacterial antibiotic resistance island
inferredcites →https://doi.org/10.1038/ncomms10063openalex-snapshot
Rapid antibiotic-resistance predictions from genome sequence data for Staphylococcus aureus and Mycobacterium tuberculosis
inferredcites →https://doi.org/10.1038/ncomms11307openalex-snapshot
Fast and sensitive mapping of nanopore sequencing reads with GraphMap
inferredcites →https://doi.org/10.1038/nmeth.3176openalex-snapshot
Fast and sensitive protein alignment using DIAMOND
inferredcites →https://doi.org/10.1038/nmeth.3444openalex-snapshot
A complete bacterial genome assembled de novo using only nanopore sequencing data
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Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks
inferredcites →https://doi.org/10.1038/nrmicro2312openalex-snapshot
Call of the wild: antibiotic resistance genes in natural environments
inferredcites →https://doi.org/10.1038/srep38432openalex-snapshot
Metagenomic profiling of historic Colorado Front Range flood impact on distribution of riverine antibiotic resistance genes
inferredcites →https://doi.org/10.1073/pnas.122108599openalex-snapshot
The evolutionary history of methicillin-resistant Staphylococcus aureus (MRSA)
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SPAdes: A New Genome Assembly Algorithm and Its Applications to Single-Cell Sequencing
inferredcites →https://doi.org/10.1093/bib/bbs033openalex-snapshot
Functional assignment of metagenomic data: challenges and applications
inferredcites →https://doi.org/10.1093/bioinformatics/btl158openalex-snapshot
Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences
inferredcites →https://doi.org/10.1093/bioinformatics/btm451openalex-snapshot
Extending assembly of short DNA sequences to handle error
inferredcites →https://doi.org/10.1093/bioinformatics/btq033openalex-snapshot
BEDTools: a flexible suite of utilities for comparing genomic features
inferredcites →https://doi.org/10.1093/bioinformatics/bts174openalex-snapshot
IDBA-UD: a de novo assembler for single-cell and metagenomic sequencing data with highly uneven depth
inferredcites →https://doi.org/10.1093/bioinformatics/btu555openalex-snapshot
Poretools: a toolkit for analyzing nanopore sequence data
inferredcites →https://doi.org/10.1093/bioinformatics/btv557openalex-snapshot
Cytoscape.js: a graph theory library for visualisation and analysis
inferredcites →https://doi.org/10.1093/bioinformatics/btw136openalex-snapshot
ARGs-OAP: online analysis pipeline for antibiotic resistance genes detection from metagenomic data using an integrated structured ARG-database
inferredcites →https://doi.org/10.1093/bioinformatics/btw569openalex-snapshot
Nanocall: an open source basecaller for Oxford Nanopore sequencing data
inferredcites →https://doi.org/10.1093/jac/dkv206openalex-snapshot
Early insights into the potential of the Oxford Nanopore MinION for the detection of antimicrobial resistance genes
inferredcites →https://doi.org/10.1093/jac/dkw397openalex-snapshot
Identification of bacterial pathogens and antimicrobial resistance directly from clinical urines by nanopore-based metagenomic sequencing
inferredcites →https://doi.org/10.1093/nar/gks678openalex-snapshot
MetaVelvet: an extension of Velvet assembler to de novo metagenome assembly from short sequence reads
inferredcites →https://doi.org/10.1093/nar/gkt1252openalex-snapshot
BacMet: antibacterial biocide and metal resistance genes database
inferredcites →https://doi.org/10.1093/nar/gkw1328openalex-snapshot
Rapid resistome mapping using nanopore sequencing
inferredcites →https://doi.org/10.1099/jmm.0.052555-0openalex-snapshot
Global spread of antibiotic resistance: the example of New Delhi metallo-β-lactamase (NDM)-mediated carbapenem resistance
inferredcites →https://doi.org/10.1101/019281openalex-snapshot
Sequencing ultra-long DNA molecules with the Oxford Nanopore MinION
inferredcites →https://doi.org/10.1101/gr.210641.116openalex-snapshot
Centrifuge: rapid and sensitive classification of metagenomic sequences
inferredcites →https://doi.org/10.1101/gr.215087.116openalex-snapshot
Canu: scalable and accurate long-read assembly via adaptive k -mer weighting and repeat separation
inferredcites →https://doi.org/10.1111/1755-0998.12324openalex-snapshot
A first look at the Oxford Nanopore MinION sequencer
inferredcites →https://doi.org/10.1111/j.1574-6976.2011.00273.xopenalex-snapshot
Gene flow, mobile genetic elements and the recruitment of antibiotic resistance genes into Gram-negative pathogens
inferredcites →https://doi.org/10.1111/nyas.13289openalex-snapshot
Antimicrobial resistance surveillance in the genomic age
inferredcites →https://doi.org/10.1126/science.1159483openalex-snapshot
Antibiotics and Antibiotic Resistance Genes in Natural Environments
inferredcites →https://doi.org/10.1128/aac.01121-16openalex-snapshot
Characterization of Two Multidrug-Resistant IncA/C Plasmids from the 1960s by Using the MinION Sequencer Device
inferredcites →https://doi.org/10.1128/aem.02340-17openalex-snapshot
Quasimetagenomics-Based and Real-Time-Sequencing-Aided Detection and Subtyping of Salmonella enterica from Food Samples
inferredcites →https://doi.org/10.1128/jb.00152-08openalex-snapshot
The Evolution of Class 1 Integrons and the Rise of Antibiotic Resistance
inferredcites →https://doi.org/10.1128/mmbr.00056-13openalex-snapshot
Integrons: Past, Present, and Future
inferredcites →https://doi.org/10.1155/2016/2475067openalex-snapshot
Mechanisms of Antimicrobial Resistance in ESKAPE Pathogens
inferredcites →https://doi.org/10.1186/s12864-015-2153-5openalex-snapshot
Co-occurrence of resistance genes to antibiotics, biocides and metals reveals novel insights into their co-selection potential
inferredcites →https://doi.org/10.1186/s13059-016-1103-0openalex-snapshot
The Oxford Nanopore MinION: delivery of nanopore sequencing to the genomics community
inferredcites →https://doi.org/10.1186/s13073-015-0220-9openalex-snapshot
Rapid metagenomic identification of viral pathogens in clinical samples by real-time nanopore sequencing analysis
inferredcites →https://doi.org/10.1186/s40168-017-0353-8openalex-snapshot
Identification of 76 novel B1 metallo-β-lactamases through large-scale screening of genomic and metagenomic data
inferredcites →https://doi.org/10.1186/s40168-018-0401-zopenalex-snapshot
DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic data
inferredcites →https://doi.org/10.1186/s40168-018-0516-2openalex-snapshot
Conserved phylogenetic distribution and limited antibiotic resistance of class 1 integrons revealed by assessing the bacterial genome and plasmid collection
inferredcites →https://doi.org/10.1186/s40545-017-0118-6openalex-snapshot
Antimicrobial resistance in India
inferredcites →https://doi.org/10.12688/f1000research.7201.1openalex-snapshot
MinION Analysis and Reference Consortium: Phase 1 data release and analysis
inferredcites →https://doi.org/10.1371/journal.pone.0019984openalex-snapshot
Evaluating the Fidelity of De Novo Short Read Metagenomic Assembly Using Simulated Data
inferredcites →https://doi.org/10.1371/journal.pone.0162442openalex-snapshot
MetaStorm: A Public Resource for Customizable Metagenomics Annotation
inferredcites →https://doi.org/10.1373/clinchem.2008.107565openalex-snapshot
Metagenomic Pyrosequencing and Microbial Identification
inferredcites →https://doi.org/10.2217/fmb.11.135openalex-snapshot
Insights into Antibiotic Resistance Through Metagenomic Approaches
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1016/j.jhazmat.2021.127407openalex-snapshot
Monitoring antibiotic resistance genes in wastewater environments: The challenges of filling a gap in the One-Health cycle
inferred← citeshttps://doi.org/10.1016/j.mimet.2020.106123openalex-snapshot
Cyanobacterial blooms in wastewater treatment facilities: Significance and emerging monitoring strategies
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