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BioHackathon 2015: Semantics of data for life sciences and reproducible research

Authors :
Takatomo Fujisawa
Shujiro Okuda
Rutger A. Vos
Yuki Naito
Benedict Paten
Toshihisa Takagi
Atsushi Fukushima
Issaku Yamada
Kouji Kozaki
Atsuko Yamaguchi
Shin Kawano
Jeremy Nguyen-Xuan
Toshiaki Katayama
Tudor Groza
Takeru Nakazato
Tazro Ohta
Toshiaki Tokimatsu
Akira R. Kinjo
Tsuyosi Tabata
Bruno Vieira
Kotone Itaya
Eric W. Deutsch
Evan E Bolton
Kenjiro Kosaki
Yasunori Yamamoto
Sadahiro Kumagai
Soichi Ogishima
Pjotr Prins
Mark Wilkinson
Núria Queralt-Rosinach
Colin Hercus
Philip Prathipati
Alexander Garcia
Hidemasa Bono
Shuichi Kawashima
Jerven Bolleman
Yuki Moriya
Chih-Hsuan Wei
Ryota Yamanaka
Masaaki Matsubara
Akiyasu C. Yoshizawa
Jesualdo Tomás Fernández-Breis
Naoki Nishida
Thomas Lütteke
Hiroyo Nishide
Jin-Dong Kim
Kees Burger
Kevin Bretonnel Cohen
Nobuyuki P. Aoki
Kozo Nishida
Joe Miyamoto
Michel Dumontier
Robert Hoehndorf
Attayeb Mohsen
Peter Amstutz
Nick Juty
Raoul J. P. Bonnal
Kieron Taylor
Hiroyuki Mishima
Naohisa Goto
Masaaki Kotera
Tatsuya Kushida
Hiroshi Mori
Ikuo Uchiyama
Takeshi Kawashima
Kazutoshi Yoshitake
Jean-Luc Perret
Kazuharu Arakawa
Jee-Hyub Kim
Daisuke Shinmachi
Shinya Suzuki
Mark Thompson
Terue Takatsuki
Erick Antezana
Hongyan Wu
Gang Fu
Hirokazu Chiba
Institute of Data Science
RS: FSE Studio Europa Maastricht
RS: FSE DACS IDS
Source :
F1000Research, 9. F1000 Research Ltd., F1000Research
Publication Year :
2020

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.

Details

Language :
English
ISSN :
20461402
Database :
OpenAIRE
Journal :
F1000Research, 9. F1000 Research Ltd., F1000Research
Accession number :
edsair.doi.dedup.....69bc30c9d74c1248bb68af22746ba6f9