Learning and teaching biological data science in the Bioconductor community

Tietueen suppeat tiedot
dc.contributor.authorDrnevich, Jenny
dc.contributor.authorTan, Frederick J.
dc.contributor.authorAlmeida-Silva, Fabricio
dc.contributor.authorCastelo, Robert
dc.contributor.authorCulhane, Aedin C.
dc.contributor.authorDavis, Sean
dc.contributor.authorDoyle, Maria A.
dc.contributor.authorGeistlinger, Ludwig
dc.contributor.authorGhazi, Andrew R.
dc.contributor.authorHolmes, Susan
dc.contributor.authorLahti, Leo
dc.contributor.authorMahmoud, Alexandru
dc.contributor.authorNishida, Kozo
dc.contributor.authorRamos, Marcel
dc.contributor.authorRue-Albrecht, Kevin
dc.contributor.authorShih, David J. H.
dc.contributor.authorGatto, Laurent
dc.contributor.authorSoneson, Charlotte
dc.contributor.organizationfi=data-analytiikka|en=Data-analytiikka|
dc.contributor.organization-code1.2.246.10.2458963.20.68940835793
dc.converis.publication-id491928607
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/491928607
dc.date.accessioned2025-08-27T22:37:55Z
dc.date.available2025-08-27T22:37:55Z
dc.description.abstractModern biological research is increasingly data-intensive, leading to a growing demand for effective training in biological data science. In this article, we provide an overview of key resources and best practices available within the Bioconductor project—an open-source software community focused on omics data analysis. This guide serves as a valuable reference for both learners and educators in the field.
dc.identifier.eissn1553-7358
dc.identifier.jour-issn1553-7358
dc.identifier.olddbid202500
dc.identifier.oldhandle10024/185527
dc.identifier.urihttps://www.utupub.fi/handle/11111/47077
dc.identifier.urlhttps://doi.org/10.1371/journal.pcbi.1012925
dc.identifier.urnURN:NBN:fi-fe2025082785744
dc.language.isoen
dc.okm.affiliatedauthorLahti, Leo
dc.okm.discipline113 Computer and information sciencesen_GB
dc.okm.discipline1182 Biochemistry, cell and molecular biologyen_GB
dc.okm.discipline3111 Biomedicineen_GB
dc.okm.discipline113 Tietojenkäsittely ja informaatiotieteetfi_FI
dc.okm.discipline1182 Biokemia, solu- ja molekyylibiologiafi_FI
dc.okm.discipline3111 Biolääketieteetfi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA2 Scientific Article
dc.publisherPublic Library of Science (PLoS)
dc.publisher.countryUnited Statesen_GB
dc.publisher.countryYhdysvallat (USA)fi_FI
dc.publisher.country-codeUS
dc.relation.articlenumbere1012925
dc.relation.doi10.1371/journal.pcbi.1012925
dc.relation.ispartofjournalPLoS Computational Biology
dc.relation.issue4
dc.relation.volume21
dc.source.identifierhttps://www.utupub.fi/handle/10024/185527
dc.titleLearning and teaching biological data science in the Bioconductor community
dc.year.issued2025

Tiedostot

Näytetään 1 - 1 / 1
Name:
journal.pcbi.1012925.pdf
Size:
803.05 KB
Format:
Adobe Portable Document Format
Lataa

Kokoelmat

Rinnakkaistallenteet