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Content provider
- ELIXIR2
- ELIXIR-SI eLearning Platform (EeLP)1
- Galaxy Project1
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Keyword
- Docker3
- Python3
- computer-science3
- Bioinformatics2
- Containers2
- Educational psychology2
- Git2
- Population genetics2
- Reproducibility2
- Software Carpentry2
- Train the trainer2
- TtT2
- bioinformatics2
- teaching practices2
- Assembly1
- R-programming1
- RNA-Seq1
- Biological databases1
- Biological networks1
- Computational metagenomics1
- Computer Programming1
- Container1
- Data Visualization1
- Data analysis1
- Data carpentry1
- Data skills1
- Docking1
- Drug design1
- Ecology1
- EeLP1
- FAIR1
- GWAS1
- Galaxy1
- Gene Expression1
- Genetic Diversity1
- Genomics1
- HTP data1
- High Throughput Sequencing Analysis1
- Managing and Processing data1
- Metabolomics1
- Metagenomics1
- NGS1
- Next generation sequencing data analysis1
- Open science1
- Pathways1
- Population Genomics1
- Programming1
- Protein interactions1
- Python for Biologists1
- RNA-Seq1
- Rare Diseases1
- Registry1
- Reproducible Research1
- Shell script1
- Software skills1
- Training1
- TtT, Train the Trainer, Educational psychology, cognitive science, teaching practices 1
- Unix Shell1
- Unix/Linux1
- Virtual machine1
- data visualization1
- eLearning1
- ethical issues1
- genetic clustering1
- genomics1
- machine learning1
- mass spectrometry1
- medical application1
- mySQL1
- omics data1
- protein structure1
- protein-protein interaction networks1
- scRNA-seq1
- supercomputer1
- ultra-high pressure liquid chromatography1
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Scientific topic
- Bioinformatics8
- Cloud computing6
- Computer science6
- HPC6
- High performance computing6
- High-performance computing6
- MicroRNA sequencing5
- RNA sequencing5
- RNA-Seq5
- RNA-Seq analysis5
- Small RNA sequencing5
- Small RNA-Seq5
- Small-Seq5
- Transcriptome profiling5
- WTSS5
- Whole transcriptome shotgun sequencing5
- miRNA-seq5
- Chromosome walking3
- Clone verification3
- DNA-Seq3
- DNase-Seq3
- High throughput sequencing3
- High-throughput sequencing3
- NGS3
- NGS data analysis3
- Next gen sequencing3
- Next generation sequencing3
- Panels3
- Primer walking3
- Sanger sequencing3
- Sequencing3
- Targeted next-generation sequencing panels3
- Codon usage2
- DNA chips2
- DNA microarrays2
- Data management2
- Exomes2
- Expression2
- Gene expression2
- Gene expression profiling2
- Gene transcription2
- Gene translation2
- Genome annotation2
- Genomes2
- Genomics2
- Metadata management2
- Personal genomics2
- Protein interaction map2
- Protein interaction networks2
- Protein interactions2
- Protein interactome2
- Protein-DNA interaction2
- Protein-DNA interactions2
- Protein-RNA interaction2
- Protein-RNA interactions2
- Protein-ligand interactions2
- Protein-nucleic acid interactions2
- Protein-protein interactions2
- Research data management (RDM)2
- Synthetic genomics2
- Transcription2
- Viral genomics2
- Whole genomes2
- Active learning1
- Alternative splicing1
- Biological models1
- Biological networks1
- Biological pathways1
- Biomathematics1
- Cellular process pathways1
- Comparative transcriptomics1
- Computational biology1
- Computational ecology1
- Data mining1
- Data rendering1
- Data visualisation1
- Disease pathways1
- Drug design1
- Ecoinformatics1
- Ecological informatics1
- Ecology1
- Ecosystem science1
- Ensembl learning1
- Environmental information processing pathways1
- Exometabolomics1
- Gene regulatory networks1
- Genetic information processing pathways1
- Interactions1
- Interactome1
- Kernel methods1
- Knowledge representation1
- LC-MS-based metabolomics1
- MS-based metabolomics1
- MS-based targeted metabolomics1
- MS-based untargeted metabolomics1
- Machine learning1
- Mass spectrometry-based metabolomics1
- Mathematical biology1
- Medicinal chemistry1
- Metabolic pathways1
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Venue
- 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
- Ospedale Policlinico San Martino, 10, Largo Rosanna Benzi1
- University of Milano Bicocca1
- 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
- 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
- Via Pietro Castellino, 111, 111, Via Pietro Castellino1
- Via Principessa Margherita, 461
- Via Ugo la Malfa, 1531
- Via dei Tizii, 6B1
- p.le Aldo Moro 71
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Target audience
- Anyone who wants to become a teacher / trainer or a better one3
- bioinformaticians3
- Bioinformaticians2
- Biologists2
- Biologists with little or no prior computational experience2
- Biologists, Genomicists, Computer Scientists2
- 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
- PhD students2
- teachers / trainers2
- rare disease patients representatives1
- Bioinformatics beginners 1
- Biomedical researchers1
- Clinicians1
- Computational biologists1
- DevOps in any field1
- Developers1
- Evolutionary Biologists1
- Investigators and researchers working in all areas of the life sciences.1
- People from any area with little or no prior computational experience1
- 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
- Post-Docs1
- Research scientists1
- Researchers1
- Researchers involved or embarking upon bioinformatic analysis in metagenomic projects1
- Structural biologists1
- Trainers1
- beginner bioinformaticians1
- biological data analysts1
- biologists1
- database managers1
- 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
- healthcare professionals1
- life scientists1
- medical specialists1
- registry curators1
- teachers1
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