See the bottom of this page for hackathon styles employed in the Biological/Biomedical Data Science Space.
Bringing people together to build tools to or perform advanced bioinformatics analysis.
Some pipelines and other scripts, software and programs generated in the events will be added to public GitHub repositories designed for that purpose.
A manuscript outlining the design and usage of the software tools constructed by each team may be submitted to an appropriate journal, such as the F1000Research Hackathons channel.
Typically, participants will need to bring their own laptop to these programs.
Duration: 5-7 days
Time per day: 24 hours
Goals:
- Open source infrastractures for data interoperability
- Data integration
- Identifiers, metadata, ontologies
Main topics: Data Interoperability, Bioinformatics, Semantic Web, Machine Learning
Frequency: 1 per year
Conference associated: BioHackathon symposium (1 day)
Duration: 2-4 days
Time per day: variable
Goals:
- Data Analysis
- Tool-building
Main topics: Bioinformatics, Workflows, Community Standards, Data Interoperability, Data Visualisation
Frequency: 1 per year
Conference associated: BOSC
Duration: 5 days
Time per day: 24 hours
Goals:
- Open source infrastructures for data interoperability
- Data integration
- Identifiers, metadata, ontologies
- Strengthen interactions between Elixir platforms/groups and community
Main topics: Data Interoperability, Bioinformatics, Semantic Web, Machine Learning
Frequency: 1 per year
Conference associated: Biohackathon symposium (1 day)
Duration: 3 days
Time per day: ~9 hours/day
Goals:
- Data Analysis
- Tool-building
Main topics: Genomics, Bioinformatics, Clinical Informatics, Image analysis, Machine Learning
Frequency: ~12/year
Conference associated: Varies