BioHackathon 2015: Semantics of data for life sciences and reproducible research.
Rutger A VosToshiaki KatayamaHiroyuki MishimaShin-Ichiro KawanoShuichi KawashimaJin-Dong KimYuki MoriyaToshiaki TokimatsuAtsuko YamaguchiYasunori YamamotoHongyan WuPeter AmstutzErick AntezanaNobuyuki P AokiKazuharu ArakawaJerven T BollemanEvan BoltonRaoul J P BonnalHidemasa BonoKees BurgerHirokazu ChibaKevin B CohenEric W DeutschJesualdo T Fernández-BreisGang FuTakatomo FujisawaAtsushi FukushimaAlexander GarcíaNaohisa GotoTudor GrozaColin HercusRobert HoehndorfKotone ItayaNick JutyTakeshi KawashimaJee-Hyub KimAkira R KinjoMasaaki KoteraKouji KozakiSadahiro KumagaiTatsuya KushidaThomas LüttekeMasaaki MatsubaraJoe MiyamotoAttayeb MohsenHiroshi MoriYuki NaitoTakeru NakazatoJeremy Nguyen-XuanKozo NishidaNaoki NishidaHiroyo NishideSoichi OgishimaTazro OhtaShujiro OkudaBenedict PatenJean-Luc PerretPhilip PrathipatiPjotr PrinsNúria Queralt-RosinachDaisuke ShinmachiShinya SuzukiTsuyosi TabataTerue TakatsukiKieron TaylorMark ThompsonIkuo UchiyamaBruno VieiraChih-Hsuan WeiMark D WilkinsonIssaku YamadaRyota YamanakaKazutoshi YoshitakeAkiyasu C YoshizawaMichel DumontierKenjiro KosakiToshihisa TakagiPublished in: F1000Research (2020)
We report on the activities of the 2015 edition of the BioHackathon, an annual event that brings together researchers and developers from around the world to develop tools and technologies that promote the reusability of biological data. We discuss issues surrounding the representation, publication, integration, mining and reuse of biological data and metadata across a wide range of biomedical data types of relevance for the life sciences, including chemistry, genotypes and phenotypes, orthology and phylogeny, proteomics, genomics, glycomics, and metabolomics. We describe our progress to address ongoing challenges to the reusability and reproducibility of research results, and identify outstanding issues that continue to impede the progress of bioinformatics research. We share our perspective on the state of the art, continued challenges, and goals for future research and development for the life sciences Semantic Web.