The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
MEGARes: an antimicrobial resistance database for high throughput sequencing
Open accessAbstract
Antimicrobial resistance has become an imminent concern for public health. As methods for detection and characterization of antimicrobial resistance move from targeted culture and polymerase chain reaction to high throughput metagenomics, appropriate resources for the analysis of large-scale data are required. Currently, antimicrobial resistance databases are tailored to smaller-scale, functional profiling of genes using highly descriptive annotations. Such characteristics do not facilitate the analysis of large-scale, ecological sequence datasets such as those produced with the use of metagenomics for surveillance. In order to overcome these limitations, we present MEGARes (https://megares.meglab.org), a hand-curated antimicrobial resistance database and annotation structure that provides a foundation for the development of high throughput acyclical classifiers and hierarchical statistical analysis of big data. MEGARes can be browsed as a stand-alone resource through the website or can be easily integrated into sequence analysis pipelines through download. Also via the website, we provide documentation for AmrPlusPlus, a user-friendly Galaxy pipeline for the analysis of high throughput sequencing data that is pre-packaged for use with the MEGARes database.
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Sequencing-based methods and resources to study antimicrobial resistance
Boolchandani, M., D’Souza, A. W., & Dantas, G. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-019-0108-4 · Cited by 522
Doster, E., Lakin, S. M., Dean, C. J., Wolfe, C., Young, J. G., Boucher, C., Belk, K. E., Noyes, N. R., & Morley, P. S. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkz1010 · Cited by 441
Self-citationGenome-Based Prediction of Bacterial Antibiotic Resistance
Su, M., Satola, S. W., & Read, T. D. (2019) · Journal of Clinical Microbiology · doi:10.1128/jcm.01405-18 · Cited by 369
Metadata
- Authors
- Lakin, S. M., Dean, C., Noyes, N. R., Dettenwanger, A., Ross, A. S., Doster, E., Rovira, P., Abdo, Z., Jones, K. L., Ruiz, J., Belk, K. E., Morley, P. S., & Boucher, C.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2016-11-28
- Volume
- 45
- Issue
- D1
- Pages
- D574-D580
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2557776122
- Cited by
- 369
- References
- 35
- FWCI
- 14.32
- Type
- journal article
- Language
- en
- Open access
- gold
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- Lakin, S. M., Dean, C., Noyes, N. R., Dettenwanger, A., Ross, A. S., Doster, E., Rovira, P., Abdo, Z., Jones, K. L., Ruiz, J., Belk, K. E., Morley, P. S., & Boucher, C. (2017). MEGARes: an antimicrobial resistance database for high throughput sequencing. Nucleic Acids Research. https://doi.org/10.1093/nar/gkw1009
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