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Venue
- Ghent - VIB/UGent FSVM II, Technologiepark 7511
- Craik-Marshall Building4
- Leuven - Campus Gasthuisberg, Herestraat 494
- Leuven - Park Inn by Radisson, Martelarenlaan 363
- Barcelona Science Park2
- Place Georges Teissier2
- 17. listopadu 1192/12, 12 17. listopadu1
- 24 chemin de borderouge CS 52627 – Auzeville1
- Barcelona Supercomputing Centre (BSC)1
- Brüderstraße 34, 34 Brüderstraße1
- Ghent - Bio-Accelerator Meeting Center, Technologiepark 211
- Ghent - Clemenspoort, Overwale 31
- Life Science Center, Keilaranta 141
- Ole-Johan Dahl's House, 23B Gaustadalléen1
- Palacky University Olomouc (UPOL) Faculty of Science tř. 17. listopadu 12, Olomouc 77900, Czech Republic room 3.0021
- Science and Technology Park of Sardinia1
- University of Rouen Normandy Mont-Saint-Aignan Campus, 3 Avenue Pasteur1
- online1
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Target audience
- Everyone is welcome to attend the courses4
- please review the policies.4
- Academia/ Research Institution1
- Academics, post-graduate students, and anyone looking to learn this essential bioinformatics skill.1
- Graduates, postgraduates, and PIs, who are using, or planning to use, RNA-seq technology in their research and want to learn how to process and analyse RNA-seq data.1
- Graduates, postgraduates, and PIs, who are using, or planning to use, single cell RNA-seq technology in their research and want to learn how to process and analyse single cell RNA-seq data.1
- Graduates, postgraduates, and PIs, who are using, or planning to use, the statistical software R to manipulate and analyse NGS and other data in their research. This is an introductory level course: no prior experience of R is necessary before starting the workshop.1
- Graduates, postgraduates, and PIs, without any previous command-line experience, who want to learn to use the Linux command-line in order to be able to work with large data files.1
- Life Science Researchers1
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- This course is for researchers who need to automate data analysis tasks for biological research involving next-generation sequence data, for example RNA-seq analysis, variant calling, CHIP-Seq, bacterial genome assembly, etc.1
- This course is intended for researchers who need to analyse genomic data in order to call genomic variants. Aside from a basic understanding of molecular biology, attendees must have a working knowledge of how to use the Linux BASH command line; our 1-day 'Linux for bioinformatics' course is a suitable background.1
- This course is targeted at life scientists who would like to explore how AI chatbots can be used to support their data analysis1
- programming and bioinformatics tasks.1
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- English5
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