Identificación de contigs asociados a plásmidos obtenidos a partir de secuenciación de genoma completo de aislamientos de Klebsiella pneumoniae

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dc.contributor.advisorBarreto Hernández, Emiliano
dc.contributor.authorTalero Osorio, Diego Camilo
dc.contributor.refereePinzón Velasco, Andrés Mauricio
dc.contributor.researchgroupCentro de Bioinformática del Instituto de Biotecnología (CBIB)spa
dc.date.accessioned2022-08-08T19:50:57Z
dc.date.available2022-08-08T19:50:57Z
dc.date.issued2022-08-08
dc.descriptionilustraciones, gráficas, tablasspa
dc.description.abstractUno de los problemas frecuentes en salud pública son las Infecciones Asociadas a la Atención en Salud (IAAS), La Organización Mundial de la Salud (WHO) ha publicado una lista de microorganismos de prioridad clínica (WHO, 2017), entre los cuales a nivel crítico están todas las Enterobacterias que presentan resistencia a antibióticos carbapenémicos como Klebsiella pneumoniae que suele contar con múltiples mecanismos de resistencia frente a dichos antibióticos (Schroeder, Brooks, & Brooks, 2017). El desarrollo de tecnologías de secuenciación de nueva generación (NGS) ha permitido el estudio del “comportamiento” y /o “composición” de los genomas de microorganismos de interés clínico; así mismo también se han diseñado y desarrollado algoritmos y flujos de trabajo bioinformáticos para el almacenamiento, anotación y análisis de estos datos, que han facilitado identificar y caracterizar, un gran número de elementos genómicos involucrados en los mecanismos de resistencia. En este trabajo se propone una herramienta de clasificación de contigs pertenecientes a plásmidos, obtenidos por secuenciación de genoma completo (WGS), que implementa varias de las herramientas, que a través de un método experimental iterativo fueron configuradas para obtener un rendimiento maximizado para las cepas de trabajo de K. pneumoniae. (Texto tomado de la fuente)spa
dc.description.abstractOne of the frequent problems in public health is the Infections Associated with Health Care (IAAS). The World Health Organization (WHO) published a list of microorganisms of clinical priority (WHO, 2017), among which at the critical level are all Entero-bacteria with resistance to carbapenems like Klebsiella pneumoniae, which usually has several mechanisms of resistance (González Rocha et al., 2017), frequently associated with the genetic information (Schroeder et al., 2017). The development of New Generation Sequencing technologies (NGS) allows the study of the "behavior" and/or "composition" of the microorganism genomes of clinical interest. Likewise, algorithms and bioinformatics workflows have been designed and developed for the storage, annotation, and analysis of these data, to the point of identifying and characterizing a large number of genomic elements involved in resistance mechanisms. This work shows the implementation of a contig classification pipeline designed to choose which of them are part of a plasmid. It uses contigs obtained by NGS technologies and implements several programs to carry out this task, which, thanks to an iterative experimental method, were configured to obtain a maximized yield for the working strains of K. pneumoniae. (text taken of the source)eng
dc.description.degreelevelMaestríaspa
dc.description.degreenameMagister en Bioinformáticaspa
dc.description.researchareaDiagnóstico molecularspa
dc.description.sponsorshipcolcienciasspa
dc.description.technicalinfoEl diseño de la herramienta esta basado en la teoria de Multiclasificador, implementando metodos de inteligencia artificial.spa
dc.format.extentxx, 83 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.identifier.instnameUniversidad Nacional de Colombiaspa
dc.identifier.reponameRepositorio Institucional Universidad Nacional de Colombiaspa
dc.identifier.repourlhttps://repositorio.unal.edu.co/spa
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/81811
dc.language.isospaspa
dc.publisherUniversidad Nacional de Colombiaspa
dc.publisher.branchUniversidad Nacional de Colombia - Sede Bogotáspa
dc.publisher.departmentDepartamento de Ingeniería de Sistemas e Industrialspa
dc.publisher.facultyFacultad de Ingenieríaspa
dc.publisher.placeBogotá, Colombiaspa
dc.publisher.programBogotá - Ingeniería - Maestría en Ingeniería - Ingeniería de Sistemas y Computaciónspa
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dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.licenseAtribución-NoComercial 4.0 Internacionalspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/spa
dc.subject.ddc000 - Ciencias de la computación, información y obras generales::005 - Programación, programas, datos de computaciónspa
dc.subject.ddc570 - Biología::576 - Genética y evoluciónspa
dc.subject.ddc610 - Medicina y salud::616 - Enfermedadesspa
dc.subject.ddc000 - Ciencias de la computación, información y obras generales::006 - Métodos especiales de computaciónspa
dc.subject.proposalPipeLinespa
dc.subject.proposalAlgoritmo de Clasificacióneng
dc.subject.proposalKlebsiella pneumoniaespa
dc.subject.proposalPlásmidosspa
dc.subject.proposalSecuenciación de Nueva Generaciónspa
dc.titleIdentificación de contigs asociados a plásmidos obtenidos a partir de secuenciación de genoma completo de aislamientos de Klebsiella pneumoniaespa
dc.title.translatedIdentification of plasmid-associated contigs obtained from whole genome sequencing of Klebsiella pneumoniae isolateseng
dc.typeTrabajo de grado - Maestríaspa
dc.type.coarhttp://purl.org/coar/resource_type/c_bdccspa
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/masterThesisspa
dc.type.redcolhttp://purl.org/redcol/resource_type/TMspa
dc.type.versioninfo:eu-repo/semantics/acceptedVersionspa
dcterms.audience.professionaldevelopmentInvestigadoresspa
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2spa
oaire.awardtitle“Diagnóstico molecular de resistencia y virulencia, y seguimiento epidemiológico de bacterias Gram negativas multirresistentes causantes de IAAS, basado en secuenciación de genoma completo (WGS) y datos sociodemográficos y clínicosspa
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