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dc.contributor.advisorBongo, Lars Ailo
dc.contributor.authorFjukstad, Bjørn
dc.date.accessioned2019-01-31T14:50:30Z
dc.date.available2019-01-31T14:50:30Z
dc.date.issued2019-01-21
dc.description.abstractThis dissertation argues that we can develop unified systems for reproducible exploration and analysis of high-throughput biological datasets. We propose an approach, Small Modular Entities (SME), that orchestrates the execution of analysis pipelines and data exploration applications. We realize SMEs using software container technologies together with well-defined interfaces, configuration, and orchestration. It simplifies the development of such applications, and provides detailed information to reproduce the analyses.en_US
dc.description.doctoraltypeph.d.en_US
dc.description.popularabstractThis dissertation argues that we can develop unified systems for reproducible exploration and analysis of high-throughput biological datasets. We propose an approach, Small Modular Entities (SME), that orchestrates the execution of analysis pipelines and data exploration applications. We realize SMEs using software container technologies together with well-defined interfaces, configuration, and orchestration. It simplifies the development of such applications, and provides detailed information to reproduce the analyses.en_US
dc.description.sponsorshipUiTen_US
dc.identifier.isbn978-82-8236-328-0 (trykt) og 978-82-8236-329-7 (pdf)
dc.identifier.urihttps://hdl.handle.net/10037/14576
dc.language.isoengen_US
dc.publisherUiT Norges arktiske universiteten_US
dc.publisherUiT The Arctic University of Norwayen_US
dc.relation.haspart<p>Paper I: Fjukstad, B., Olsen, K.S., Jareid, M., Lund, E. & Bongo, L.A. (2015). Kvik: three-tier data exploration tools for flexible analysis of genomic data in epidemiological studies [version 2; referees: 1 approved, 2 approved with reservations]. <i>F1000Research, 4</i>:81. Also available at <a href=https://doi.org/10.12688/f1000research.6238.2>https://doi.org/10.12688/f1000research.6238.2. </a> Version 1 available at <a href=http://hdl.handle.net/10037/8813>http://hdl.handle.net/10037/8813. </a><p> <p>Paper II: Fjukstad, B., Dumeaux, V., Olsen, K.S., Lund, E., Hallett, M. & Bongo, L.A. (2017). Building applications for interactive data exploration in systems biology. <i>ACM-BCB -17: Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics</i>, 556–561. Also available at <a href=http://dx.doi.org/10.1145/3107411.3107481>http://dx.doi.org/10.1145/3107411.3107481. </a><p> <p>Paper III: Dumeaux, V., Fjukstad, B., Fjosne, H.E., Frantzen, J-O., Holmen, M.M., Rodegerdts, E. … Hallett, M. (2017). Interactions between the tumor and the blood systemic response of breast cancer patients. <i>PLoS Computational Biology, 13</i>(9), e1005680. Also available at <a href=https://doi.org/10.1371/journal.pcbi.1005680>https://doi.org/10.1371/journal.pcbi.1005680. </a><p> <p>Paper IV: Fjukstad, B. & Bongo, L.A. (2017). A review of scalable bioinformatics pipelines. <i>Data Science and Engineering, 2</i>(3), 245–251. Also available at <a href= https://doi.org/10.1007/s41019-017-0047-z>https://doi.org/10.1007/s41019-017-0047-z. </a><p> <p>Paper V: Raknes, I.A., Fjukstad, B. & Bongo, L.A. (2017). nsroot: Minimalist process isolation tool implemented with linux namespaces.<i> Norsk Informatikkonferanse</i>. Also available at <a href= https://ojs.bibsys.no/index.php/NIK/index>https://ojs.bibsys.no/index.php/NIK/index. </a><p> <p>Paper VI: Fjukstad, B., Dumeaux, V., Hallett, M. & Bongo, L.A. (2018). Reproducible data analysis pipelines for precision medicine. (Manuscript). Also available at <a href=https://doi.org/10.1101/354811>https://doi.org/10.1101/354811. </a><p>en_US
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2019 The Author(s)
dc.subject.courseIDDOKTOR-008
dc.subjectVDP::Mathematics and natural science: 400::Information and communication science: 420::System development and system design: 426en_US
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Systemutvikling og – arbeid: 426en_US
dc.subjectVDP::Mathematics and natural science: 400::Basic biosciences: 470::Bioinformatics: 475en_US
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Basale biofag: 470::Bioinformatikk: 475en_US
dc.titleToward Reproducible Analysis and Exploration of High-Throughput Biological Datasetsen_US
dc.typeDoctoral thesisen_US
dc.typeDoktorgradsavhandlingen_US


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