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Scientific topic
- Active learning1
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- Workshops and courses3
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- Italy2
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Target audience
- Bioinformaticians
- PhD students9
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- Anyone who wants to become a teacher / trainer or a better one3
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- PhD Students or young researchers in molecular biology and/or genetics with little or no background in bioinformatics. 2
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- Early/mid-career stage researchers with a solid understanding of molecular biology and RNA sequencing, but no prior experience with Nanopore sequencing is required.1
- Graduate Students1
- Investigators and researchers working in all areas of the life sciences.1
- Masters students1
- People from any area with little or no prior computational experience1
- PhD Students1
- PhD students and young researchers in the life science and computational biology field who are planning to use RNA-seq data and are looking for the best practices to analyze these types of data1
- PhD students, computer scientists, bioinformaticians and developers who need to maintain/extend existing tools or develop new tools for Galaxy. 1
- PhD students, postDoc and PIs in Life Sciences, Biomedicine and Bioinformatics with little or no knowledge of network biology tools, who are interested in learning how to apply such tools in their research.1
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- data stewards1
- evolutionary biologists who already have bioinformatics skills. PhD students and Post-Doc researchers will benefit the most out of this course, but applications from all candidates will be evaluated in their context1
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