A taxonomy of tools and approaches for distributed genomic analyses
The amount of biomedical data collected and stored has grown significantly. Analyzing these extensive amounts of data cannot be done by individuals or single organizations anymore. Thus, the scientific community is creating global collaborative efforts to analyze these data. However, biomedical data...
- Autores:
-
Garzón, Wilmer
Benavides, Luis Alberto
Gignard, Alban
Südholt, Mario
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2022
- Institución:
- Escuela Colombiana de Ingeniería Julio Garavito
- Repositorio:
- Repositorio Institucional ECI
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.escuelaing.edu.co:001/3156
- Acceso en línea:
- https://repositorio.escuelaing.edu.co/handle/001/3156
https://repositorio.escuelaing.edu.co/
- Palabra clave:
- Biometría
Biometry
Análisis de la información
Information analysis
Investigación biomédica
Biomedical research
Tecnología médica
Medical technology
Distributed biomedical analyses
Fully distributed collaborations
Reproducibility
Scalability Multi-site analyses
Distributed workflow analyses
Análisis biomédicos distribuidos
Colaboraciones totalmente distribuidas
Reproducibilidad
Análisis de escalabilidad multisitio
Análisis de flujo de trabajo distribuido
- Rights
- openAccess
- License
- http://purl.org/coar/access_right/c_abf2
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Repositorio Institucional ECI |
repository_id_str |
|
dc.title.eng.fl_str_mv |
A taxonomy of tools and approaches for distributed genomic analyses |
title |
A taxonomy of tools and approaches for distributed genomic analyses |
spellingShingle |
A taxonomy of tools and approaches for distributed genomic analyses Biometría Biometry Análisis de la información Information analysis Investigación biomédica Biomedical research Tecnología médica Medical technology Distributed biomedical analyses Fully distributed collaborations Reproducibility Scalability Multi-site analyses Distributed workflow analyses Análisis biomédicos distribuidos Colaboraciones totalmente distribuidas Reproducibilidad Análisis de escalabilidad multisitio Análisis de flujo de trabajo distribuido |
title_short |
A taxonomy of tools and approaches for distributed genomic analyses |
title_full |
A taxonomy of tools and approaches for distributed genomic analyses |
title_fullStr |
A taxonomy of tools and approaches for distributed genomic analyses |
title_full_unstemmed |
A taxonomy of tools and approaches for distributed genomic analyses |
title_sort |
A taxonomy of tools and approaches for distributed genomic analyses |
dc.creator.fl_str_mv |
Garzón, Wilmer Benavides, Luis Alberto Gignard, Alban Südholt, Mario |
dc.contributor.author.none.fl_str_mv |
Garzón, Wilmer Benavides, Luis Alberto Gignard, Alban Südholt, Mario |
dc.contributor.researchgroup.spa.fl_str_mv |
CTG - Informática |
dc.subject.armarc.none.fl_str_mv |
Biometría Biometry Análisis de la información Information analysis Investigación biomédica Biomedical research Tecnología médica Medical technology |
topic |
Biometría Biometry Análisis de la información Information analysis Investigación biomédica Biomedical research Tecnología médica Medical technology Distributed biomedical analyses Fully distributed collaborations Reproducibility Scalability Multi-site analyses Distributed workflow analyses Análisis biomédicos distribuidos Colaboraciones totalmente distribuidas Reproducibilidad Análisis de escalabilidad multisitio Análisis de flujo de trabajo distribuido |
dc.subject.proposal.eng.fl_str_mv |
Distributed biomedical analyses Fully distributed collaborations Reproducibility Scalability Multi-site analyses Distributed workflow analyses |
dc.subject.proposal.spa.fl_str_mv |
Análisis biomédicos distribuidos Colaboraciones totalmente distribuidas Reproducibilidad Análisis de escalabilidad multisitio Análisis de flujo de trabajo distribuido |
description |
The amount of biomedical data collected and stored has grown significantly. Analyzing these extensive amounts of data cannot be done by individuals or single organizations anymore. Thus, the scientific community is creating global collaborative efforts to analyze these data. However, biomedical data is subject to several legal and socio- economic restrictions hindering the possibilities for research collaboration. In this paper, we argue that researchers require new tools and techniques to address the restrictions and needs of global scientific collaborations over geo-distributed biomedical data. These tools and techniques must support what we call Fully Distributed Collaborations (FDC), which are research endeavors that harness means to exploit and analyze massive biomedical information collaboratively while respecting legal and socio-economical restrictions. This paper first motivates and discusses the requirements of FDCs in the context of a research collaboration on the development of diagnostic and predictive tools for the risk of intracranial aneurysm formation and rupture (the ICAN project). The paper then presents a taxonomy classifying the current tools and techniques for biomedical analysis with respect to the proposed requirements. The taxonomy considers three key architectural features to support FDC scenarios: data and computation placement, Privacy and Security, and Performance and Scalability. The review reveals new research opportunities to design tools and techniques for multi-site analyses encouraging scientific collaborations while mitigating technical and legal constraints. |
publishDate |
2022 |
dc.date.issued.none.fl_str_mv |
2022 |
dc.date.accessioned.none.fl_str_mv |
2024-07-11T16:51:03Z |
dc.date.available.none.fl_str_mv |
2024-07-11T16:51:03Z |
dc.type.spa.fl_str_mv |
Artículo de revista |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.type.content.spa.fl_str_mv |
Text |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/article |
format |
http://purl.org/coar/resource_type/c_6501 |
status_str |
publishedVersion |
dc.identifier.uri.none.fl_str_mv |
https://repositorio.escuelaing.edu.co/handle/001/3156 |
dc.identifier.eissn.spa.fl_str_mv |
2352-9148 |
dc.identifier.instname.spa.fl_str_mv |
Universidad Escuela Colombiana de Ingeniería Julio Garavito |
dc.identifier.reponame.spa.fl_str_mv |
Repositorio Digital |
dc.identifier.repourl.spa.fl_str_mv |
https://repositorio.escuelaing.edu.co/ |
url |
https://repositorio.escuelaing.edu.co/handle/001/3156 https://repositorio.escuelaing.edu.co/ |
identifier_str_mv |
2352-9148 Universidad Escuela Colombiana de Ingeniería Julio Garavito Repositorio Digital |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.relation.citationedition.spa.fl_str_mv |
Vol. 32 año 2022 |
dc.relation.citationendpage.spa.fl_str_mv |
17 |
dc.relation.citationstartpage.spa.fl_str_mv |
1 |
dc.relation.citationvolume.spa.fl_str_mv |
32 |
dc.relation.ispartofjournal.eng.fl_str_mv |
Informatics in Medicine Unlocked |
dc.relation.references.spa.fl_str_mv |
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Garzón, Wilmer6b04a33a7db33dd5cc3491063fc48a95Benavides, Luis Albertof41ce80dc6191ec07a18f9540f4178a8Gignard, Alban6fbca16bc50d2c0b4dee4332f1d568c6Südholt, Mario0250aeec3f859c0b7205d04882c0260dCTG - Informática2024-07-11T16:51:03Z2024-07-11T16:51:03Z2022https://repositorio.escuelaing.edu.co/handle/001/31562352-9148Universidad Escuela Colombiana de Ingeniería Julio GaravitoRepositorio Digitalhttps://repositorio.escuelaing.edu.co/The amount of biomedical data collected and stored has grown significantly. Analyzing these extensive amounts of data cannot be done by individuals or single organizations anymore. Thus, the scientific community is creating global collaborative efforts to analyze these data. However, biomedical data is subject to several legal and socio- economic restrictions hindering the possibilities for research collaboration. In this paper, we argue that researchers require new tools and techniques to address the restrictions and needs of global scientific collaborations over geo-distributed biomedical data. These tools and techniques must support what we call Fully Distributed Collaborations (FDC), which are research endeavors that harness means to exploit and analyze massive biomedical information collaboratively while respecting legal and socio-economical restrictions. This paper first motivates and discusses the requirements of FDCs in the context of a research collaboration on the development of diagnostic and predictive tools for the risk of intracranial aneurysm formation and rupture (the ICAN project). The paper then presents a taxonomy classifying the current tools and techniques for biomedical analysis with respect to the proposed requirements. The taxonomy considers three key architectural features to support FDC scenarios: data and computation placement, Privacy and Security, and Performance and Scalability. The review reveals new research opportunities to design tools and techniques for multi-site analyses encouraging scientific collaborations while mitigating technical and legal constraints.La cantidad de datos biomédicos recopilados y almacenados ha aumentado significativamente. El análisis de estas grandes cantidades de datos ya no lo pueden realizar individuos ni organizaciones individuales. Así, la comunidad científica está creando esfuerzos colaborativos globales para analizar estos datos. Sin embargo, los datos biomédicos están sujetos a varias restricciones legales y socioeconómicas que obstaculizan las posibilidades de colaboración en investigación. En este artículo, sostenemos que los investigadores necesitan nuevas herramientas y técnicas para abordar las restricciones y necesidades de las colaboraciones científicas globales sobre datos biomédicos geodistribuidos. Estas herramientas y técnicas deben respaldar lo que llamamos Colaboraciones Totalmente Distribuidas (FDC), que son esfuerzos de investigación que aprovechan los medios para explotar y analizar información biomédica masiva de manera colaborativa respetando las restricciones legales y socioeconómicas. En primer lugar, este artículo motiva y analiza los requisitos de los CDF en el contexto de una colaboración de investigación sobre el desarrollo de herramientas de diagnóstico y predicción del riesgo de formación y rotura de aneurismas intracraneales (el proyecto ICAN). Luego, el artículo presenta una taxonomía que clasifica las herramientas y técnicas actuales para el análisis biomédico con respecto a los requisitos propuestos. La taxonomía considera tres características arquitectónicas clave para admitir escenarios FDC: ubicación de datos y cálculos, privacidad y seguridad, y rendimiento y escalabilidad. La revisión revela nuevas oportunidades de investigación para diseñar herramientas y técnicas para análisis multisitio que fomenten colaboraciones científicas y al mismo tiempo mitiguen las limitaciones técnicas y legales.17 páginasapplication/pdfengElsevier LtdBogotá (Colombia)www.elsevier.com/locate/imuA taxonomy of tools and approaches for distributed genomic analysesArtículo de revistainfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/coar/version/c_970fb48d4fbd8a85Vol. 32 año 202217132Informatics in Medicine UnlockedAbouelhoda M, Issa SA, Ghanem M. Tavaxy: integrating taverna and galaxy workflows with cloud computing support. 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PLoS ONE 2011;6:e25988. https://doi.org/10.1371/journal. pone.0025988.info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2BiometríaBiometryAnálisis de la informaciónInformation analysisInvestigación biomédicaBiomedical researchTecnología médicaMedical technologyDistributed biomedical analysesFully distributed collaborationsReproducibilityScalability Multi-site analysesDistributed workflow analysesAnálisis biomédicos distribuidosColaboraciones totalmente distribuidasReproducibilidadAnálisis de escalabilidad multisitioAnálisis de flujo de trabajo distribuidoTEXTA taxonomy of tools and approaches for distributed genomic analyses.pdf.txtA taxonomy of tools and approaches for distributed genomic analyses.pdf.txtExtracted texttext/plain131146https://repositorio.escuelaing.edu.co/bitstream/001/3156/4/A%20taxonomy%20of%20tools%20and%20approaches%20for%20distributed%20genomic%20analyses.pdf.txteb26b4b320214d3ec325cd2e042520dbMD54open accessTHUMBNAILPortada A toxonomy of tools and aproaches for distributed genomic analyses.PNGPortada A toxonomy of tools and aproaches for distributed genomic analyses.PNGimage/png236507https://repositorio.escuelaing.edu.co/bitstream/001/3156/3/Portada%20A%20toxonomy%20of%20tools%20and%20aproaches%20for%20distributed%20genomic%20analyses.PNG2c10021a4b8daf155722e9f0326b3472MD53open accessA taxonomy of tools and approaches for distributed genomic analyses.pdf.jpgA taxonomy of tools and approaches for distributed genomic analyses.pdf.jpgGenerated Thumbnailimage/jpeg15578https://repositorio.escuelaing.edu.co/bitstream/001/3156/5/A%20taxonomy%20of%20tools%20and%20approaches%20for%20distributed%20genomic%20analyses.pdf.jpgadfb70997a6f9d9860a919c715d14321MD55open accessLICENSElicense.txtlicense.txttext/plain; charset=utf-81881https://repositorio.escuelaing.edu.co/bitstream/001/3156/2/license.txt5a7ca94c2e5326ee169f979d71d0f06eMD52open accessORIGINALA taxonomy of tools and approaches for distributed genomic analyses.pdfA taxonomy of tools and approaches for distributed genomic analyses.pdfapplication/pdf1871605https://repositorio.escuelaing.edu.co/bitstream/001/3156/1/A%20taxonomy%20of%20tools%20and%20approaches%20for%20distributed%20genomic%20analyses.pdf352bd361e8f413892b8b09b9617362ebMD51metadata only access001/3156oai:repositorio.escuelaing.edu.co:001/31562024-08-06 16:11:23.159metadata only accessRepositorio Escuela Colombiana de Ingeniería Julio Garavitorepositorio.eci@escuelaing.edu.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 |