274 related articles for article (PubMed ID: 37400174)
1. Metagenomic next generation sequencing for studying antibiotic resistance genes in the environment.
Li B; Yan T
Adv Appl Microbiol; 2023; 123():41-89. PubMed ID: 37400174
[TBL] [Abstract][Full Text] [Related]
2. Multiplexed Target Enrichment Enables Efficient and In-Depth Analysis of Antimicrobial Resistome in Metagenomes.
Li Y; Shi X; Zuo Y; Li T; Liu L; Shen Z; Shen J; Zhang R; Wang S
Microbiol Spectr; 2022 Dec; 10(6):e0229722. PubMed ID: 36287061
[TBL] [Abstract][Full Text] [Related]
3. Modeling the limits of detection for antimicrobial resistance genes in agri-food samples: a comparative analysis of bioinformatics tools.
Cooper AL; Low A; Wong A; Tamber S; Blais BW; Carrillo CD
BMC Microbiol; 2024 Jan; 24(1):31. PubMed ID: 38245666
[TBL] [Abstract][Full Text] [Related]
4. A Metagenomic Approach for Characterizing Antibiotic Resistance Genes in Specific Bacterial Populations: Demonstration with Escherichia coli in Cattle Manure.
Li B; Li X; Wang B; Yan T
Appl Environ Microbiol; 2022 Apr; 88(7):e0255421. PubMed ID: 35285243
[TBL] [Abstract][Full Text] [Related]
5. Platforms for elucidating antibiotic resistance in single genomes and complex metagenomes.
Lal Gupta C; Kumar Tiwari R; Cytryn E
Environ Int; 2020 May; 138():105667. PubMed ID: 32234679
[TBL] [Abstract][Full Text] [Related]
6. Inferring antibiotic susceptibility from metagenomic data: dream or reality?
Ruppé E; d'Humières C; Armand-Lefèvre L
Clin Microbiol Infect; 2022 Sep; 28(9):1225-1229. PubMed ID: 35551982
[TBL] [Abstract][Full Text] [Related]
7. Comparative study of sequence aligners for detecting antibiotic resistance in bacterial metagenomes.
McCall C; Xagoraraki I
Lett Appl Microbiol; 2018 Mar; 66(3):162-168. PubMed ID: 29288551
[TBL] [Abstract][Full Text] [Related]
8. Deciphering the mobility and bacterial hosts of antibiotic resistance genes under antibiotic selection pressure by metagenomic assembly and binning approaches.
Zhao R; Yu K; Zhang J; Zhang G; Huang J; Ma L; Deng C; Li X; Li B
Water Res; 2020 Nov; 186():116318. PubMed ID: 32871290
[TBL] [Abstract][Full Text] [Related]
9. NanoARG: a web service for detecting and contextualizing antimicrobial resistance genes from nanopore-derived metagenomes.
Arango-Argoty GA; Dai D; Pruden A; Vikesland P; Heath LS; Zhang L
Microbiome; 2019 Jun; 7(1):88. PubMed ID: 31174603
[TBL] [Abstract][Full Text] [Related]
10. Performance Characteristics of Next-Generation Sequencing for the Detection of Antimicrobial Resistance Determinants in Escherichia coli Genomes and Metagenomes.
Rooney AM; Raphenya AR; Melano RG; Seah C; Yee NR; MacFadden DR; McArthur AG; Schneeberger PHH; Coburn B
mSystems; 2022 Jun; 7(3):e0002222. PubMed ID: 35642524
[TBL] [Abstract][Full Text] [Related]
11. Metagenomic approach revealed the mobility and co-occurrence of antibiotic resistomes between non-intensive aquaculture environment and human.
Tian L; Fang G; Li G; Li L; Zhang T; Mao Y
Microbiome; 2024 Jun; 12(1):107. PubMed ID: 38877573
[TBL] [Abstract][Full Text] [Related]
12. Contributions and Challenges of High Throughput qPCR for Determining Antimicrobial Resistance in the Environment: A Critical Review.
Waseem H; Jameel S; Ali J; Saleem Ur Rehman H; Tauseef I; Farooq U; Jamal A; Ali MI
Molecules; 2019 Jan; 24(1):. PubMed ID: 30609875
[TBL] [Abstract][Full Text] [Related]
13. Diversity analysis and metagenomic insights into antibiotic and metal resistance among Himalayan hot spring bacteriobiome insinuating inherent environmental baseline levels of antibiotic and metal tolerance.
Najar IN; Sherpa MT; Das S; Das S; Thakur N
J Glob Antimicrob Resist; 2020 Jun; 21():342-352. PubMed ID: 32344121
[TBL] [Abstract][Full Text] [Related]
14. Tracking Antibiotic Resistance from the Environment to Human Health.
Abdelrazik E; El-Hadidi M
Methods Mol Biol; 2023; 2649():289-301. PubMed ID: 37258869
[TBL] [Abstract][Full Text] [Related]
15. Metagenomics Reveals the Diversity and Taxonomy of Carbohydrate-Active Enzymes and Antibiotic Resistance Genes in Suancai Bacterial Communities.
Song Q; Wang B; Han Y; Zhou Z
Genes (Basel); 2022 Apr; 13(5):. PubMed ID: 35627157
[TBL] [Abstract][Full Text] [Related]
16. A Quantitative Metagenomic Sequencing Approach for High-Throughput Gene Quantification and Demonstration with Antibiotic Resistance Genes.
Li B; Li X; Yan T
Appl Environ Microbiol; 2021 Jul; 87(16):e0087121. PubMed ID: 34085862
[TBL] [Abstract][Full Text] [Related]
17. ARGs-OAP v2.0 with an expanded SARG database and Hidden Markov Models for enhancement characterization and quantification of antibiotic resistance genes in environmental metagenomes.
Yin X; Jiang XT; Chai B; Li L; Yang Y; Cole JR; Tiedje JM; Zhang T
Bioinformatics; 2018 Jul; 34(13):2263-2270. PubMed ID: 29408954
[TBL] [Abstract][Full Text] [Related]
18. Metagenomic strategies identify diverse integron-integrase and antibiotic resistance genes in the Antarctic environment.
Antelo V; Giménez M; Azziz G; Valdespino-Castillo P; Falcón LI; Ruberto LAM; Mac Cormack WP; Mazel D; Batista S
Microbiologyopen; 2021 Oct; 10(5):e1219. PubMed ID: 34713606
[TBL] [Abstract][Full Text] [Related]
19. Target-enriched long-read sequencing (TELSeq) contextualizes antimicrobial resistance genes in metagenomes.
Slizovskiy IB; Oliva M; Settle JK; Zyskina LV; Prosperi M; Boucher C; Noyes NR
Microbiome; 2022 Nov; 10(1):185. PubMed ID: 36324140
[TBL] [Abstract][Full Text] [Related]
20. A curated data resource of 214K metagenomes for characterization of the global antimicrobial resistome.
Martiny HM; Munk P; Brinch C; Aarestrup FM; Petersen TN
PLoS Biol; 2022 Sep; 20(9):e3001792. PubMed ID: 36067158
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]