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Keyword
- Git5
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Scientific topic
- Bioinformatics12
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- MicroRNA sequencing5
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- RNA-Seq5
- RNA-Seq analysis5
- Small RNA sequencing5
- Small RNA-Seq5
- Small-Seq5
- Transcriptome profiling5
- WTSS5
- Whole transcriptome shotgun sequencing5
- miRNA-seq5
- Chromosome walking3
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- Data management3
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- Panels3
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- Targeted next-generation sequencing panels3
- Codon usage2
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Venue
- Athena Research & Innovation Center in Information Communication & Knowledge Technologies, 6, Artemidos2
- University of Ljubljana, Faculty of Medicine2
- University of Milano Bicocca2
- Via Nizza, 522
- Via Pietro Castellino, 1112
- University of Arkansas Rome Center: Palazzo Taverna, Via di Monte Giordano, 36 - 00186 Rome Italy.1
- 1) Workshop: University of Bari Aldo Moro, 1, Piazza Umberto I; 2) Summer School: Una Hotel Regina, Strada Provinciale, 57, 70016 Noicattaro, BA 1
- Campus di Biologia e Biomedicina “Fiore di Botta”, University of Padova, Via del Pescarotto, 81
- Campus di Fisciano, Università degli Studi di Salerno, Via Giovanni Paolo II, n. 1321
- Campus di Fisciano, Università di Salerno1
- Computer Room (aula Calcolo) Department of Biosciences, University of Milan, Via Celoria 261
- Corte Isolani, 5b, 5b, Corte Isolani1
- Department of Electrical and Electronic Engineering (DIEE) of University of Cagliari1
- 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
- On Line - ZOOM platform1
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- Ospedale Policlinico San Martino, 10, Largo Rosanna Benzi1
- Technická 3, 3, Technická1
- The Alan Turing Institute, 96, Euston Road1
- University of Milano-Bicocca, Building U7, Lab 7151
- University of Turin, Molecular Biotechnology Center1
- Università degli Studi di Padova - Campus di Biologia e Biomedicina "Fiore di Botta", 8, Via del Pescarotto1
- 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 Giovanni Amendola, 122o, 122o Via Giovanni Amendola1
- Via Nizza, 52 Molecular Biotechonology Center, University of Turin1
- Via Pietro Castellino, 111, 111, Via Pietro Castellino1
- Via Principessa Margherita, 461
- Via Ugo la Malfa, 1531
- Via dei Tizii, 6B1
- Wellcome Genome Campus1
- p.le Aldo Moro 71
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Target audience
- PhD students9
- Researchers7
- Anyone who wants to become a teacher / trainer or a better one3
- Bioinformaticians3
- Biologists3
- Clinicians3
- Master students3
- bioinformaticians3
- database managers3
- healthcare professionals3
- life scientists3
- medical specialists3
- registry curators3
- rare disease patients representatives2
- Biologists with little or no prior computational experience2
- Biologists, Genomicists, Computer Scientists2
- Evolutionary Biologists2
- Life Science Researchers2
- Operators, developers and managers of bioinformatics resources2
- PhD Students or young researchers in molecular biology and/or genetics with little or no background in bioinformatics. 2
- PhD and graduate students, young researchers and PIs in the life science and computational biology field2
- Post-Docs2
- Trainers2
- teachers2
- teachers / trainers2
- PhD students1
- Bioinformaticians and Biologists who want to learn how to manipulate, process data, and make plots using R1
- Bioinformatics beginners 1
- Biomedical researchers1
- Computational biologists1
- DevOps in any field1
- Developers1
- 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
- Professors1
- Research scientists1
- Researchers involved or embarking upon bioinformatic analysis in metagenomic projects1
- Structural biologists1
- Technicians1
- Technologists1
- Training Designers1
- Training instructors1
- beginner bioinformaticians1
- biological data analysts1
- biologists1
- data managers1
- data steward / data manager1
- 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
- industry1
- postdoctoral researchers1
- rare disease patients representatives1
- trainers1
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