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Scientific topic
- Bioinformatics11
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- Chromosome walking3
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- Workshops and courses31
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- University of Milano Bicocca2
- Via Nizza, 522
- Via Pietro Castellino, 1112
- Campus di Fisciano, Università degli Studi di Salerno, Via Giovanni Paolo II, n. 1321
- Dipartimento di Scienze Biochimiche - Alessandro Rossi Fanelli, 332, Viale Regina Elena1
- Fondazione Edmund Mach, Palazzo della Ricerca e della Conoscenza, Via E. Mach 1, San Michele all'Adige1
- University of Turin, Molecular Biotechnology Center1
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- Università degli Studi di Padova - Casa della Gioventù, Via Rio Bianco,121
- Via Bicocca degli Arcimboldi, 8, Lab. 715, U7 Building1
- Via Giano della Bella, 341
- Via Giovanni Amendola, 1221
- Via Nizza, 52 Molecular Biotechonology Center, University of Turin1
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- Via Principessa Margherita, 461
- Via Ugo la Malfa, 1531
- Via dei Tizii, 6B1
- p.le Aldo Moro 71
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- Italy19
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Target audience
- PhD students4
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- Bioinformaticians and Biologists who want to learn how to manipulate, process data, and make plots using R1
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- PhD Students1
- PhD Students or young researchers in molecular biology and/or genetics with little or no background in bioinformatics. 1
- 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, 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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- beginner bioinformaticians1
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- biologists1
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- 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
- industry1
- postdoctoral researchers1
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