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Content provider
- ELIXIR2
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Scientific topic
- Bioinformatics3
- Cloud computing2
- Computer science2
- HPC2
- High performance computing2
- High-performance computing2
- Biomathematics1
- Computational biology1
- Data management1
- Data mining1
- Data rendering1
- Data visualisation1
- Mathematical biology1
- Metadata management1
- Pattern recognition1
- Theoretical biology1
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Event type
- Workshops and courses3
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City
- Roma2
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Country
- Italy2
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Organizer
- Allegra Via (ELIXIR-IIB Training Coordinator, IBPM-CNR, IT) Loredana Le Pera (ELIXIR-IIB Training Team, IBIOM-CNR, IT) Tiziana Castrignanò (SCAI Department, CINECA, Roma, IT) 1
- Veronica Morea (CNR-IBPM, Rome, Italy), Allegra Via (ELIXIR-IIB Training Coordinator, CNR-IBPM, Italy), Loredana Le Pera (ELIXIR-IIB Training Team, IIT@Sapienza, Italy) 1
- Vincenza Colonna (CNR), Loredana Le Pera (CNR), Allegra Via (CNR)1
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Sponsor
- ELIXIR Italy1
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Target audience
- Biologists
- PhD students9
- Researchers7
- Anyone who wants to become a teacher / trainer or a better one3
- Bioinformaticians3
- 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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