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- SIB Swiss Institute of Bioinformatics29
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Venue
- Craik-Marshall Building3
- Ghent - VIB/UGent FSVM II, Technologiepark 753
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- 17. listopadu 1192/12, 12 17. listopadu1
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- Wyndham Garden Berlin Mitte, 116A Osloer Straße1
- online1
- the University Campus Bohunice (Masaryk University)1
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- SIB Swiss Institute of Bioinformatics (https://ror.org/002n09z45)29
- Edinburgh Genomics7
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- Karel Berka, Pavel Polishchuk1
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Target audience
- Everyone is welcome to attend the courses3
- please review the policies.3
- 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
- Master students1
- PhD Students1
- Post Docs1
- 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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Language
- English5
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