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Keyword
- DMP22
- ELIXIR-CONVERGE15
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Scientific topic
- Data management25
- Metadata management25
- Research data management (RDM)25
- FAIR data14
- Findable, accessible, interoperable, reusable data14
- Data archival9
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- Data curation9
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- Cloud computing5
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- Exomes2
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Operation
- Data brokering13
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- Data management planning5
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- rRNA filtering1
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Venue
- Microsoft Teams2
- Delivered online virtually, with face-to-face sessions on Teams.1
- INESC, 9 Rua Alves Redol1
- L69 7ZX1
- Narva mnt 18, room 20211
- Online1
- Online via Zoom1
- TF fløy III, 1430 Kajaveien1
- University of Liverpool, Brownlow Hill1
- University of Ljubljana, Faculty of Medicine1
- Uppsala University, SciLifeLab, BMC, Husargatan 3, Uppsala1
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Sponsor
- Centre for Digital Life Norway9
- ELIXIR Converge5
- ELIXIR Norway5
- BioMedData2
- COST Association1
- CSUC1
- ELIXIR Bioinformatics Industry Forum1
- ELIXIR-CONVERGE1
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- ELIXIR-STEERS1
- Funded by the European Union1
- Germano de Sousa1
- Novogene1
- OLISSIPO1
- PHENET1
- Research Council of Norway1
- SGS1
- SciLifeLab1
- SciLifeLab/KAW DDLS programme1
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Target audience
- Researchers
- PhD students42
- Graduate students21
- Life Science Researchers21
- Industry16
- Academics15
- Master students15
- Post Docs13
- mixed audience13
- All postgraduates12
- PhD11
- PhD candidate11
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- Wet-lab researchers and bioinformaticians9
- bioinformaticians9
- Beginner8
- Professors8
- Biologists7
- Life Scientists7
- PhD Students7
- PI6
- Senior scientist/ Principal investigator6
- Technicians6
- data steward / data manager6
- Life sciences5
- Molecular Biologists5
- PIsSenior scientist/ Principal investigator5
- PhD candidates5
- Undergraduate students5
- data stewards5
- Anyone intersted in GWAS and using the H3Africa genotyping chip4
- Bioinformatician4
- Bioinformaticians and wet-lab biologists who can program in Perl, Python or R.4
- Masters students4
- PhD student4
- Researcher4
- Researcher in life sciences4
- post-docs4
- postdoctoral researchers4
- Academic3
- Bioinformaticians3
- Bioinformaticians and wet-lab biologists who can program in Python or R.3
- Biologists, Genomicists, Computer Scientists3
- Clinicians3
- Data managers3
- Early Career Researchers (ECRs)3
- Expert Support3
- Government3
- Graduate Students3
- Job seeker3
- Pathologists3
- Post-Docs3
- Research presentation3
- Scientists3
- Small and Medium-sized Enterprises (SMEs)3
- Student3
- Trainers3
- data managers3
- life scientists3
- reproducible research3
- Beginners2
- Biological sciences research students and postdocs who may want to use HPC in their research.Please note that Biochemistry first year graduate students book this course via their Moodle site not here.2
- Data Scientist2
- Data Scientists2
- Data stewards2
- Early Career Researcher2
- Early career investigators2
- Evolutionary Biologists2
- Industry professionals, and people with a keen interest in the subject.2
- Intermediate2
- Plant research2
- Post docs2
- PostDoc2
- PostDocs2
- Statistician2
- This course is aimed at advanced PhD students and post-doctoral researchers who are applying or planning to apply high throughput sequencing technologies in cancer research and wish to familiarise themselves with bioinformatics tools and data analysis methodologies specific to cancer data. Familiarity with the technology and biological use cases of high throughput sequencing is required, as is some experience with R/Bioconductor (basic understanding of the R syntax and ability to manipulate R objects) and the Unix/Linux operating system.2
- This course is aimed at individuals working across life sciences who have little or no experience in bioinformatics. Applicants are expected to be at an early stage of using bioinformatics in their research with the need to develop their knowledge and skills further. No previous knowledge of programming is required for this course; group projects may give you the opportunity to learn basic programming, but participants will be supported in this by their mentors. Depending on your chosen project, an introductory programming tutorial may be given as homework prior to attending the course.2
- This workshop is aimed at new and experienced managers of bioinformatics core facilities, or other facilities that support their users to analyse and interpret large biomolecular data sets. This course will not provide a platform for teaching hands-on bioinformatics analysis.2
- Training Designers2
- Training instructors2
- Young researchers, Members of the Italian Society of Biochemistry and Molecular Biology (SIB)2
- beginner bioinformaticians2
- data manager2
- modellers for nanosafety prediction2
- project manager2
- research software engineers and research data managers working with ELIXIR-supported tools and resources2
- researchers2
- software developers, bioinformaticians2
- software engineers2
- PhD students1
- rare disease patients representatives1
- Analysts1
- Anyone interested1
- Anyone interested in learning about metabolomics1
- Anyone who wants to learn more about GWAS1
- Applicants must be employed within Latin America only. A relevant undergraduate-level degree in a biology or computer science / informatics degree would be helpful. You may have an MSc/PhD in biology, computer science and/or bioinformatics, or relevant experience through employment. Please note this course will be taught in English, however some trainers are fluent in either Spanish/Portuguese, and can offer language support where feasible. Priority will also be given to those who have not attended a CABANA event yet. You may be expected to watch pre-recorded videos and complete short assignments prior to attending the workshop. This should amount to up to 5 hours of work. 1
- Beginners who have very little background in using the command line and are enthusiastic to learn more1
- Bench biologists1
- Bioinformaticians and Biologists who want to learn how to manipulate, process data, and make plots using R1
- Bioinformaticians and wet-lab biologists1
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Language
- English15
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