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Keyword
- Gene expression (gene-expression)5
- Expression Atlas4
- HDRUK4
- ArrayExpress Archive of Functional Genomics Data3
- RNA-Seq3
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Scientific topic
- Bioinformatics1868
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Operation
- Biological network analysis1
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Venue
- Craik-Marshall Building4
- , 3
- Campus di Fisciano, Università degli Studi di Salerno, Via Giovanni Paolo II, n. 1321
- European Bioinformatics Institute, Hinxton1
- Fondazione Edmund Mach, Palazzo della Ricerca e della Conoscenza, Via E. Mach 1, San Michele all'Adige1
- Piazzale Aldo Moro, 5, 5 Piazzale Aldo Moro1
- Sapienza University of Rome1
- Stanford University, Li and Ma Science Library, 376 Lomita Drive1
- University of California, Davis, Shields Library1
- University of California, San Diego, Medical Education and Telemedicine Building, San Diego1
- University of Queensland1
- Westin Boston Waterfront1
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Target audience
- Graduate students4
- Institutions and other external Institutions or individuals4
- Postdocs and Staff members from the University of Cambridge4
- The module is suitable for researchers interested in gene expression analysis and visualisation3
- 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
- Bioinformaticians1
- Bioinformaticians and wet-lab biologists who can program1
- Computational biologists1
- Early Career Researchers (ECRs)1
- Job seeker1
- PhD Scholars, Graduates and Post Graduates, Professors, Associate Professors, Assistant Professors, Bio instruments Professionals, Bio-informatics Professionals, Directors, CEO’s of Organizations, Supply Chain companies, Manufacturing Companies, Software development companies, Research Institutes and members1
- PhD Students, Post-Doc research scientists1
- 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
- Small and Medium-sized Enterprises (SMEs)1
- This course is aimed at life science researchers needing to learn more about the basic processing of raw RNA-Seq data and downstream analysis. It will help those wanting to learn how to interpret gene expression data and explore results of biological significance from processed data. 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 workshop is aimed at researchers who wish to use and submit functional genomics data. This workshop will not however cover the analysis of such data.1
- biological data analysts1
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Language
- English2
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Instructor
- Nancy George4
- Silvie Fexova2
- Andrea Sottosanti1
- Anton Petrov1
- Blake Sweeney1
- Dario Righelli1
- Denise Carvalho-Silva1
- Dora Tortarolo1
- Emily Perry1
- Grete Francesca Privitera 1
- Kostas Billis1
- Leanne Haggerty1
- Liis Kolberg1
- Roberto Pagliarini 1
- Sam Holt1
- Simon Andrews1
- Sung Gong1
- Thawfeek Mohamed Varusai1
- Tom Hancocks1
- Vladimir Kiselev1
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