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- Workshops and courses1
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Target audience
- Researchers50
- PhD students37
- Graduate students21
- Life Science Researchers18
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- mixed audience13
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- Anyone intersted in GWAS and using the H3Africa genotyping chip4
- Bioinformaticians and wet-lab biologists who can program in Perl, Python or R.4
- Biologists, Genomicists, Computer Scientists4
- Clinicians4
- Life Scientists4
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- post-docs4
- postdoctoral researchers4
- project manager4
- Bioinformaticians and wet-lab biologists who can program in Python or R.3
- Early Career Researchers (ECRs)3
- Graduate Students3
- Graduates, postgraduates, and PIs, who are using, or planning to use, RNA-seq technology in their research and want to learn how to process and analyse RNA-seq data.3
- Graduates, postgraduates, and PIs, who are using, or planning to use, the statistical software R to manipulate and analyse NGS and other data in their research. This is an introductory level course: no prior experience of R is necessary before starting the workshop.3
- Graduates, postgraduates, and PIs, without any previous command-line experience, who want to learn to use the Linux command-line in order to be able to work with large data files.3
- Intermediate3
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- Small and Medium-sized Enterprises (SMEs)3
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- data manager3
- data managers3
- life scientists3
- researchers3
- Beginners2
- Bioinformatician2
- Data Scientists2
- Early Career Researcher2
- Evolutionary Biologists2
- Graduates, postgraduates, and PIs, who are using, or planning to use, single cell RNA-seq technology in their research and want to learn how to process and analyse single cell RNA-seq data.2
- Molecular Biologists2
- PIsSenior scientist/ Principal investigator2
- Pathologists2
- Plant research2
- Post docs2
- Post-Docs2
- PostDocs2
- Postgraduate students2
- Scientists2
- 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 course is intended for researchers who need to analyse genomic data in order to call genomic variants. Aside from a basic understanding of molecular biology, attendees must have a working knowledge of how to use the Linux BASH command line; our 1-day 'Linux for bioinformatics' course is a suitable background.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 Coordinators2
- Training Organisers2
- beginner bioinformaticians2
- database managers2
- healthcare professionals2
- medical specialists2
- modellers for nanosafety prediction2
- policy officer2
- registry curators2
- reproducible research2
- research software engineers and research data managers working with ELIXIR-supported tools and resources2
- software developers, bioinformaticians2
- software engineers2
- students2
- trainers2
- PhD students1
- rare disease patients representatives1
- Academics, post-graduate students, and anyone looking to learn this essential bioinformatics skill.1
- Analysts1
- 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
- Bioinformaticians1
- Bioinformaticians and Biologists who want to learn how to manipulate, process data, and make plots using R1
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