Back to Search
Start Over
BioHackathon 2015: Semantics of data for life sciences and reproducible research
- 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.
- Subjects :
- 0301 basic medicine
Computer science
Bioinformatics
Clinical Sciences
Oncology and Carcinogenesis
Ontology (information science)
computer.software_genre
Semantics
General Biochemistry, Genetics and Molecular Biology
Biological Science Disciplines
Workflows
03 medical and health sciences
Databases
0302 clinical medicine
Web Services
Genetics
Data Mining
General Pharmacology, Toxicology and Pharmaceutics
Semantic Web
Visualization
Biological data
Metadata
General Immunology and Microbiology
Ontology
Computational Biology
Reproducibility of Results
Articles
General Medicine
Linked data
Opinion Article
Data science
030104 developmental biology
Workflow
Networking and Information Technology R&D (NITRD)
BioHackathon
Biochemistry and Cell Biology
Web service
computer
030217 neurology & neurosurgery
Linked Open Data
Subjects
Details
- Language :
- English
- ISSN :
- 20461402
- Database :
- OpenAIRE
- Journal :
- F1000Research, 9. F1000 Research Ltd., F1000Research
- Accession number :
- edsair.doi.dedup.....69bc30c9d74c1248bb68af22746ba6f9