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dc.contributor.authorMöller, Steffenen_US
dc.contributor.authorAfgan, Enisen_US
dc.contributor.authorBanck, Michaelen_US
dc.contributor.authorBonnal, Raoul JPen_US
dc.contributor.authorBooth, Timothyen_US
dc.contributor.authorChilton, Johnen_US
dc.contributor.authorCock, Peter JAen_US
dc.contributor.authorGumbel, Markusen_US
dc.contributor.authorHarris, Nomien_US
dc.contributor.authorHolland, Richarden_US
dc.contributor.authorKalaš, Matúšen_US
dc.contributor.authorKaján, Lászlóen_US
dc.contributor.authorKibukawa, Erien_US
dc.contributor.authorPowel, David Ren_US
dc.contributor.authorPrins, Pjotren_US
dc.contributor.authorQuinn, Jacquelineen_US
dc.contributor.authorSallou, Olivieren_US
dc.contributor.authorStrozzi, Francescoen_US
dc.contributor.authorSeemann, Torstenen_US
dc.contributor.authorSloggett, Clareen_US
dc.contributor.authorSoiland-Reyes, Stianen_US
dc.contributor.authorSpooner, Williamen_US
dc.contributor.authorSteinbiss, Saschaen_US
dc.contributor.authorTille, Andreasen_US
dc.contributor.authorTravis, Anthony Jen_US
dc.contributor.authorGuimera, Roman Vallsen_US
dc.contributor.authorKatayama, Toshiakien_US
dc.contributor.authorChapman, Brad Aen_US
dc.date.accessioned2015-01-05T18:26:45Z
dc.date.issued2014en_US
dc.identifier.citationMöller, S., E. Afgan, M. Banck, R. J. Bonnal, T. Booth, J. Chilton, P. J. Cock, et al. 2014. “Community-driven development for computational biology at Sprints, Hackathons and Codefests.” BMC Bioinformatics 15 (Suppl 14): S7. doi:10.1186/1471-2105-15-S14-S7. http://dx.doi.org/10.1186/1471-2105-15-S14-S7.en
dc.identifier.issn1471-2105en
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:13581076
dc.description.abstractBackground: Computational biology comprises a wide range of technologies and approaches. Multiple technologies can be combined to create more powerful workflows if the individuals contributing the data or providing tools for its interpretation can find mutual understanding and consensus. Much conversation and joint investigation are required in order to identify and implement the best approaches. Traditionally, scientific conferences feature talks presenting novel technologies or insights, followed up by informal discussions during coffee breaks. In multi-institution collaborations, in order to reach agreement on implementation details or to transfer deeper insights in a technology and practical skills, a representative of one group typically visits the other. However, this does not scale well when the number of technologies or research groups is large. Conferences have responded to this issue by introducing Birds-of-a-Feather (BoF) sessions, which offer an opportunity for individuals with common interests to intensify their interaction. However, parallel BoF sessions often make it hard for participants to join multiple BoFs and find common ground between the different technologies, and BoFs are generally too short to allow time for participants to program together. Results: This report summarises our experience with computational biology Codefests, Hackathons and Sprints, which are interactive developer meetings. They are structured to reduce the limitations of traditional scientific meetings described above by strengthening the interaction among peers and letting the participants determine the schedule and topics. These meetings are commonly run as loosely scheduled "unconferences" (self-organized identification of participants and topics for meetings) over at least two days, with early introductory talks to welcome and organize contributors, followed by intensive collaborative coding sessions. We summarise some prominent achievements of those meetings and describe differences in how these are organised, how their audience is addressed, and their outreach to their respective communities. Conclusions: Hackathons, Codefests and Sprints share a stimulating atmosphere that encourages participants to jointly brainstorm and tackle problems of shared interest in a self-driven proactive environment, as well as providing an opportunity for new participants to get involved in collaborative projects.en
dc.language.isoen_USen
dc.publisherBioMed Centralen
dc.relation.isversionofdoi:10.1186/1471-2105-15-S14-S7en
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC4255748/pdf/en
dash.licenseLAAen_US
dc.titleCommunity-driven development for computational biology at Sprints, Hackathons and Codefestsen
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden
dc.relation.journalBMC Bioinformaticsen
dash.depositing.authorChapman, Brad Aen_US
dc.date.available2015-01-05T18:26:45Z
dc.identifier.doi10.1186/1471-2105-15-S14-S7*
dash.authorsorderedfalse
dash.contributor.affiliatedChapman, Brad


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