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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha : |
17/04/2017 |
Actualizado : |
11/10/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
LAKIN, S.M.; DEAN, C.; NOYES, N.R.; DETTENWANGER, A.; ROSS, A. S.; DOSTER, E.; ROVIRA, P.J.; ABDO, Z.; JONES, K.L.; RUIZ, J.; BELK, K.E.; MORLEY, P.S.; BOUCHER, C. |
Afiliación : |
STEVEN M. LAKIN; CHRIS DEAN; NOELLE R. NOYES; ADAM DETTENWANGER; ANNE SPENCER ROSS; ENRIQUE DOSTER; PABLO JUAN ROVIRA SANZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. Department of Animal Sciences, Colorado State University, USA.; ZAID ABDO; KENNETH L. JONES; JAIME RUIZ; KEITH E. BELK; PAUL S. MORLEY; CHRISTINA BOUCHER. |
Título : |
MEGARes: an antimicrobial resistance database for high throughput sequencing. |
Fecha de publicación : |
2017 |
Fuente / Imprenta : |
Nucleic Acids Research, 2017 v.45 p.574-580. |
DOI : |
10.1093/nar/gkw1009 |
Idioma : |
Inglés |
Notas : |
Article History: Published online 2016 Nov 24.
DOI: https://doi.org/10.1093/nar/gkw1009 |
Contenido : |
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. |
Palabras claves : |
BASE DE DATOS; BIOINFORMÁTICA; DATASETS; DRUG RESISTANCE; GENES; METAGENÓMICA; METAGENOMICS; MICROBIAL; POLYMERASE CHAIN REACTION; PUBLIC HEALTH MEDICINE; RESISTENCIA ANTIMICROBIANA; SEQUENCE ANALYSIS. |
Asunto categoría : |
L01 Ganadería |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/6677/1/Rovira-arb-2017-1.pdf
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5210519/
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Marc : |
LEADER 02505naa a2200433 a 4500 001 1057051 005 2019-10-11 008 2017 bl uuuu u00u1 u #d 024 7 $a10.1093/nar/gkw1009$2DOI 100 1 $aLAKIN, S.M. 245 $aMEGARes$ban antimicrobial resistance database for high throughput sequencing.$h[electronic resource] 260 $c2017 500 $aArticle History: Published online 2016 Nov 24. DOI: https://doi.org/10.1093/nar/gkw1009 520 $aAntimicrobial 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. 653 $aBASE DE DATOS 653 $aBIOINFORMÁTICA 653 $aDATASETS 653 $aDRUG RESISTANCE 653 $aGENES 653 $aMETAGENÓMICA 653 $aMETAGENOMICS 653 $aMICROBIAL 653 $aPOLYMERASE CHAIN REACTION 653 $aPUBLIC HEALTH MEDICINE 653 $aRESISTENCIA ANTIMICROBIANA 653 $aSEQUENCE ANALYSIS 700 1 $aDEAN, C. 700 1 $aNOYES, N.R. 700 1 $aDETTENWANGER, A. 700 1 $aROSS, A. S. 700 1 $aDOSTER, E. 700 1 $aROVIRA, P.J. 700 1 $aABDO, Z. 700 1 $aJONES, K.L. 700 1 $aRUIZ, J. 700 1 $aBELK, K.E. 700 1 $aMORLEY, P.S. 700 1 $aBOUCHER, C. 773 $tNucleic Acids Research, 2017$gv.45 p.574-580.
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INIA Treinta y Tres (TT) |
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Registros recuperados : 9 | |
2. | | NOYES, N. R.; ABDO, Z.; ROVIRA, P.J.; DOSTER, E.; YANG, X.; LINKE, L. M.; BURGESS, B. A.; MARTIN. J.; BOUCHER, C.; MORLEY, P. S.; BELK, K. E. A bayesian approach to investigating the effect of metaphylaxis on the microbiome-resistance of the commercial feedlot steers. Abstract. In: Plant and Animal Genome Conference, 24. San Diego, USA, 2016.Tipo: Abstracts/Resúmenes |
Biblioteca(s): INIA Treinta y Tres. |
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3. | | NOYES, N.; WEINROTH, M.; LAKIN, S.; DOSTER, E.; RAYMOND, R.; ROVIRA, P.J.; ABDO, Z.; RUIZ, J.; MARTIN, J.; BOUCHER, C.; JONES, K.; BELK, K.E. Comparing the resistome of poultry, swine, cattle and salmon production and nearby human waste water treatment plants. [Abstract]. In: Conference of Research Workers in Animal Diseases, 96th, 2015,Chicago (USA): CRWAD, 2015. p. 127.Tipo: Abstracts/Resúmenes |
Biblioteca(s): INIA Treinta y Tres. |
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4. | | LAKIN, S.M.; DEAN, C.J.; DETTENWANGER, A.; ROSS, A.; DOSTER, E.; ROVIRA, P.J.; ABDO, Z.; JONES, K.L.; BELK, K.E.; MORLEY, P.S.; BOUCHER, C. MEGaRES and AmrPlusPlus, a comprehensive database of antimicrobial resistance genes and user-friendly pipeline for analysis of high-throughput sequencing data.[Abstract]. In: PROCEEDINGS OF THE 96TH ANNUAL CONFERENCE OF RESEARCH WORKERS IN ANIMAL DEISEASES, CHICAGO, USA. 2016. Session Ecology and Management of Foodborne Agents. 065.Tipo: Abstracts/Resúmenes |
Biblioteca(s): INIA Treinta y Tres. |
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5. | | LAKIN, S.M.; DEAN, C.; NOYES, N.R.; DETTENWANGER, A.; ROSS, A. S.; DOSTER, E.; ROVIRA, P.J.; ABDO, Z.; JONES, K.L.; RUIZ, J.; BELK, K.E.; MORLEY, P.S.; BOUCHER, C. MEGARes: an antimicrobial resistance database for high throughput sequencing. Nucleic Acids Research, 2017 v.45 p.574-580. Article History: Published online 2016 Nov 24.
DOI: https://doi.org/10.1093/nar/gkw1009Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : A - A |
Biblioteca(s): INIA Treinta y Tres. |
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6. | | NOYES, N.R.; PARKER, J.K.; DEAN, C.J.; RAYMOND, R.A.; WEINROTH, M.E.; ROVIRA, P.J.; DOSTER, E.; ABDO, Z.; MARTIN, J.; JONES, K.L.; RUIZ, J.; BOUCHER, C.A.; BELK, K.E.; MORLEY, P.S. Megarich, a pre-sequencing capture system for enriching and counting resistance genes within metagenomic samples. [Abstract]. In: PROCEEDINGS OF THE 96TH ANNUAL CONFERENCE OF RESEARCH WORKERS IN ANIMAL DEISEASES, CHICAGO, USA. 2016. Session Ecology and Management of Foodborne Agents. - 064.Tipo: Abstracts/Resúmenes |
Biblioteca(s): INIA Treinta y Tres. |
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7. | | WEINROTH, M.D.; LANKIN, S.M.; NOYES, N.R.; YANG, X.; ROVIRA, P.J.; DOSTER, E.; DEAN, C.; PARKER, J.K.; ANDERSON, C.; ABDO, Z.; BOUCHER, C.; RUIZ, J.; BELK, K.E.; MORLEY, P.S. Metagenomic investigations of antimicrobial resistance in beef, pork, and broiler production systems. [Abstract]. ln: Conference of Research Workers in Animal Disease. (3-5 Dec., 2017, Chicago, Illinois, USA) Presentation Abstracts. Chicago, Illinois (USA): CRWAD, 2017. p. 27.Tipo: Abstracts/Resúmenes |
Biblioteca(s): INIA Treinta y Tres. |
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8. | | MORLEY, P.; BELK, K.; DOSTER, E.; LAKIN, S.; DEAN, C.; MUGGLI, M.; NOYES, N.; ROVIRA, P.J.; WEINROTH, M.; YANG, X.; ABDO, Z.; BOUCHER, C.; RUIZ, J.; SCOTT, H.M.; VAN METRE, D.C.; WOERNER, D.E. Metagnomic investigations of antimicrobial resitance in food animal populations. In: USDA NIFA Antimicrobial Resistance Program Project. 2017, Florida, USA. p. 14-15Tipo: Abstracts/Resúmenes |
Biblioteca(s): INIA Treinta y Tres. |
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9. | | NOYES, N.R.; WEINROTH, M.E.; PARKER, J.K.; DEAN, C.J.; LAKIN, S.M.; RAYMOND, R.A.; ROVIRA, P.J.; DOSTER, E.; ABDO, Z.; MARTIN, J.N.; JONES, K.L.; RUIZ, J.; BOUCHER, C.A.; BELK, K.E.; MORLEY, P.S. Enrichment allows identification of diverse, rate elements in metagenomic resistome-virulome sequencing. Microbiome, 2017, 5, p. 142 13 p. Article History: Received: 29 May 2017, Accepted: 5 October 2017, Published: 17 October 2017Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - A |
Biblioteca(s): INIA Treinta y Tres. |
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Registros recuperados : 9 | |
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