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- European Bioinformatics Institute (EBI)8
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Target audience
- This workshop is aimed at wet-lab scientists and bioinformaticians. Participants should have degree-level understanding of molecular biology/genetics and be proficient at using web browsers. 3
- This course is aimed at life science researchers wanting to learn more about processing RNA-seq data and later downstream analysis. It will help those wanting a basic introduction to handling RNA-seq data, guiding them through several common approaches that can be applied to their own datasets. It features taught and practical sessions that cover how to interpret gene expression data and learn more about the biological significance of certain results. Participants will require a basic knowledge of the Unix command line, the Ubuntu 18 operating system, and the R statistical packages. We recommend these free tutorials: Basic introduction to the Unix environment: www.ee.surrey.ac.uk/Teaching/Unix Introduction and exercises for Linux: https://training.linuxfoundation.org/free-linux-training Basic R concept tutorials: www.r-tutor.com/r-introduction Regardless of your current knowledge, we encourage successful participants to use these, and other materials, to prepare for attending the course and future work in this area. 1
- This course is aimed at researchers at graduate level upwards within Latin America who are working with and/or generating their own crop genomic data or who are working on genotyping technologies, including data analysis software development. Prerequisites: Basic computational or previous bioinformatics experience is required for this workshop, such as basic commands in R. Undergraduate-level knowledge of plant biology would be an advantage. Please note this course will be taught in English. There will be assistants fluent in Spanish who can offer language support where feasible. 1
- This course is aimed at researchers with little to no experience in big data analysis and who are generating, planning on generating, or working with single cell RNA sequencing data. 1
- This course is aimed at researchers with little-to-no experience in big data analysis and who are generating, planning on generating, or working with single-cell RNA sequencing data. 1
- This workshop is aimed at PhD students within the PhD programme "Genetics, Molecular and Cellular Biology" (University of Pavia) and the PhD programmme "Biomolecular Sciences and Biotechnology" (IUSS, University School for Advanced Studies Pavia. No knowledge of programming is required, but an undergraduate level knowledge of biology or molecular biology would be useful. 1
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