1. BioHackathon 2015: Semantics of data for life sciences and reproducible research
- Author
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Vos, Rutger A, Katayama, Toshiaki, Mishima, Hiroyuki, Kawano, Shin, Kawashima, Shuichi, Kim, Jin-Dong, Moriya, Yuki, Tokimatsu, Toshiaki, Yamaguchi, Atsuko, Yamamoto, Yasunori, Wu, Hongyan, Amstutz, Peter, Antezana, Erick, Aoki, Nobuyuki P, Arakawa, Kazuharu, Bolleman, Jerven T, Bolton, Evan, Bonnal, Raoul JP, Bono, Hidemasa, Burger, Kees, Chiba, Hirokazu, Cohen, Kevin B, Deutsch, Eric W, Fernández-Breis, Jesualdo T, Fu, Gang, Fujisawa, Takatomo, Fukushima, Atsushi, García, Alexander, Goto, Naohisa, Groza, Tudor, Hercus, Colin, Hoehndorf, Robert, Itaya, Kotone, Juty, Nick, Kawashima, Takeshi, Kim, Jee-Hyub, Kinjo, Akira R, Kotera, Masaaki, Kozaki, Kouji, Kumagai, Sadahiro, Kushida, Tatsuya, Lütteke, Thomas, Matsubara, Masaaki, Miyamoto, Joe, Mohsen, Attayeb, Mori, Hiroshi, Naito, Yuki, Nakazato, Takeru, Nguyen-Xuan, Jeremy, Nishida, Kozo, Nishida, Naoki, Nishide, Hiroyo, Ogishima, Soichi, Ohta, Tazro, Okuda, Shujiro, Paten, Benedict, Perret, Jean-Luc, Prathipati, Philip, Prins, Pjotr, Queralt-Rosinach, Núria, Shinmachi, Daisuke, Suzuki, Shinya, Tabata, Tsuyosi, Takatsuki, Terue, Taylor, Kieron, Thompson, Mark, Uchiyama, Ikuo, Vieira, Bruno, Wei, Chih-Hsuan, Wilkinson, Mark, Yamada, Issaku, Yamanaka, Ryota, Yoshitake, Kazutoshi, Yoshizawa, Akiyasu C, Dumontier, Michel, Kosaki, Kenjiro, and Takagi, Toshihisa
- Subjects
Medical Biochemistry and Metabolomics ,Biological Sciences ,Bioinformatics and Computational Biology ,Biomedical and Clinical Sciences ,Networking and Information Technology R&D (NITRD) ,Genetics ,Biological Science Disciplines ,Computational Biology ,Data Mining ,Metadata ,Reproducibility of Results ,Semantic Web ,BioHackathon ,Bioinformatics ,Databases ,Linked Open Data ,Ontology ,Visualization ,Web Services ,Workflows ,Biochemistry and Cell Biology ,Clinical Sciences ,Oncology and Carcinogenesis - Abstract
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.
- Published
- 2020