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NGSPipes: fostering reproducibility and scalability in biosciences

dc.contributor.authorDantas, Bruno
dc.contributor.authorFleitas, Camenelias
dc.contributor.authorAlmeida, Alexandre
dc.contributor.authorForja, João
dc.contributor.authorFrancisco, Alexandre
dc.contributor.authorSimão, José
dc.contributor.authorVaz, Cátia
dc.date.accessioned2018-02-22T14:19:40Z
dc.date.available2018-02-22T14:19:40Z
dc.date.issued2017-08
dc.description.abstractBiosciences have been revolutionised by NGS technologies in last years, leading to new perspectives in medical, industrial and environmental applications. And although our motivation comes from biosciences, the following is true for many areas of science: published results are usually hard to reproduce, delaying the adoption of new methodologies and hindering innovation. Even if data and tools are freely available, pipelines for data analysis are in general barely described and their setup is far from trivial. NGSPipes addresses these issues reducing the efforts necessary to define, build and deploy pipelines, either at a local workstation or in the cloud. NGSPipes framework is freely available at http://ngspipes.github.io/.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationDANTAS, Bruno; [et al] – NGSPipes: fostering reproducibility and scalability in biosciences, In ACM-BCB '17 Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology,and Health Informatics. Boston, Massachusetts, USA: ACM-BCB`17, 2017. ISBN: 978-1-4503-4722-8. Pp. 603-603pt_PT
dc.identifier.doi10.1145/3107411.3108213pt_PT
dc.identifier.isbn978-1-4503-4722-8
dc.identifier.urihttp://hdl.handle.net/10400.21/8103
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherAssociation for Computing Machinerypt_PT
dc.relationProjects BacGenTrack - TUBITACK/0004/2014pt_PT
dc.relationNEUROCLINOMICS2 (PTDC/EEI-SII/1937/2014)pt_PT
dc.relationPRECISE (SAICTPAC/0021/2015)pt_PT
dc.relationFCT - UID/CEC/500021/2013pt_PT
dc.relation.publisherversionhttp://delivery.acm.org/10.1145/3110000/3108213/p603-dantas.pdf?ip=194.210.195.28&id=3108213&acc=ACTIVE%20SERVICE&key=2E5699D25B4FE09E%2E7B9783D512D69300%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35&__acm__=1519307796_b8e6993d58e65002a725544c7c4d08b6pt_PT
dc.subjectScientific workflowspt_PT
dc.subjectReproducible sciencept_PT
dc.subjectDomain specific languagespt_PT
dc.subjectDecentralised computingpt_PT
dc.titleNGSPipes: fostering reproducibility and scalability in biosciencespt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceBoston, Massachusetts, USA — August 20 - 23, 2017pt_PT
oaire.citation.endPage603pt_PT
oaire.citation.startPage603pt_PT
oaire.citation.titleACM-BCB '17 Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology,and Health Informaticspt_PT
person.familyNameFrancisco
person.familyNameSimão
person.familyNameVaz
person.givenNameAlexandre
person.givenNameJosé
person.givenNameCátia
person.identifier1099536
person.identifier.ciencia-id5413-C0FA-7557
person.identifier.ciencia-id8718-741E-BBD9
person.identifier.orcid0000-0003-4852-1641
person.identifier.orcid0000-0002-6564-593X
person.identifier.orcid0000-0001-6074-3074
person.identifier.ridADC-1473-2022
person.identifier.scopus-author-id57189313027
person.identifier.scopus-author-id27267941600
rcaap.rightsclosedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationc151b29d-016d-448b-82e7-4c012e300ee2
relation.isAuthorOfPublication625152de-db55-4942-8506-f461f4bd947d
relation.isAuthorOfPublication0c5cb0fd-7cd7-4a16-86a8-7a68188e53ff
relation.isAuthorOfPublication.latestForDiscovery0c5cb0fd-7cd7-4a16-86a8-7a68188e53ff

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