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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha : |
17/04/2017 |
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Actualizado : |
11/10/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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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. |
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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. |
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Título : |
MEGARes: an antimicrobial resistance database for high throughput sequencing. |
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Fecha de publicación : |
2017 |
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Fuente / Imprenta : |
Nucleic Acids Research, 2017 v.45 p.574-580. |
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DOI : |
10.1093/nar/gkw1009 |
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Idioma : |
Inglés |
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Notas : |
Article History: Published online 2016 Nov 24.
DOI: https://doi.org/10.1093/nar/gkw1009 |
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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. |
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Palabras claves : |
BASE DE DATOS; BIOINFORMÁTICA; DATASETS; DRUG RESISTANCE; GENES; METAGENÓMICA; METAGENOMICS; MICROBIAL; POLYMERASE CHAIN REACTION; PUBLIC HEALTH MEDICINE; RESISTENCIA ANTIMICROBIANA; SEQUENCE ANALYSIS. |
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Asunto categoría : |
L01 Ganadería |
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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 : |
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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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Registro original : |
INIA Treinta y Tres (TT) |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
05/08/2016 |
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Actualizado : |
08/03/2021 |
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Tipo de producción científica : |
Trabajos en Congresos/Conferencias |
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Autor : |
CAFFARENA, D.; FRAGA, M.; CASTELLS, M.; COLINA, R.; SCHILD, C.; RIET-CORREA, F.; GIANNITTI, F. |
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Afiliación : |
RUBEN CAFFARENA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARTIN FRAGA COTELO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MATIAS CASTELLS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; R COLINA, Universidad de la República (UdelaR)/ Laboratorio de Virología Molecular; CARLOS SCHILD, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FRANKLIN RIET-CORREA AMARAL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FEDERICO GIANNITTI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Detección de agentes causales de diarrea neonatal bovina en 2 tambos de Colonia, Uruguay. |
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Fecha de publicación : |
2016 |
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Fuente / Imprenta : |
In: Jornadas Uruguayas de Buiatría, 44., 2016, Paysandú, UY.; Gianneechini, E.; Elizondo, V. (Ed.).Paysandú: Centro Médico Veterinario de Paysandú/Sociedad Uruguaya de Buiatría, 2016. |
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Páginas : |
p. 153-156. |
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Idioma : |
Español |
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Palabras claves : |
CORONAVIRUS BOVINA; CRYPTOSPORIDIUM; PLATAFORMA DE SALUD ANIMAL; ROTAVIRUS; SÍNDROME DE DIARREA NEONATAL; TERNEROS HOLSTEIN. |
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Thesagro : |
ENFERMEDADES DE LOS ANIMALES; ESCHERICHIA COLI; SALMONELLA. |
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Asunto categoría : |
L73 Enfermedades de los animales |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/15282/1/JB2016-153-156.pdf
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Marc : |
LEADER 01006naa a2200301 a 4500
001 1055194
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008 2016 bl uuuu u00u1 u #d
100 1 $aCAFFARENA, D.
245 $aDetección de agentes causales de diarrea neonatal bovina en 2 tambos de Colonia, Uruguay.
260 $c2016
300 $ap. 153-156.
650 $aENFERMEDADES DE LOS ANIMALES
650 $aESCHERICHIA COLI
650 $aSALMONELLA
653 $aCORONAVIRUS BOVINA
653 $aCRYPTOSPORIDIUM
653 $aPLATAFORMA DE SALUD ANIMAL
653 $aROTAVIRUS
653 $aSÍNDROME DE DIARREA NEONATAL
653 $aTERNEROS HOLSTEIN
700 1 $aFRAGA, M.
700 1 $aCASTELLS, M.
700 1 $aCOLINA, R.
700 1 $aSCHILD, C.
700 1 $aRIET-CORREA, F.
700 1 $aGIANNITTI, F.
773 $tIn: Jornadas Uruguayas de Buiatría, 44., 2016, Paysandú, UY.; Gianneechini, E.; Elizondo, V. (Ed.).Paysandú: Centro Médico Veterinario de Paysandú/Sociedad Uruguaya de Buiatría, 2016.
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INIA La Estanzuela (LE) |
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