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  • Edinburgh Genomics10
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• • Keyword
  • Command line2
  • Gene expression2
  • Genomics2
  • Linux2
  • RNAseq2
  • Software2
  • Beginner1
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  • EdgeR1
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  • ggplot21
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• • Event type
  • Workshops and courses
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• • Organizer
  • Edinburgh Genomics
  • SIB Swiss Institute of Bioinformatics (https://ror.org/002n09z45)59
  • University of Cambridge45
  • VIB35
  • European Bioinformatics Institute (EBI)23
  • de.NBI / ELIXIR-DE10
  • NEOF7
  • Australian BioCommons2
  • Elixir CZ2
  • CSC - https://bioexcel.eu/1
  • Daniela Schneider (https://training.galaxyproject.org/training-material/hall-of-fame/Sch-Da/), Teresa Müller (https://training.galaxyproject.org/training-material/hall-of-fame/teresa-m/)1
  • Introduction à la segmentation des nucléoles et extraction de caractéristiques avec Galaxy (), https://catalogue.france-bioinformatique.fr/api/organisation/AuBi/?format=json-ld, https://catalogue.france-bioinformatique.fr/api/organisation/M%C3%A9socentre%20Clermont-Auvergne/?format=json-ld1
  • Karel Berka, Pavel Polishchuk1
  • Wendi Bacon (https://training.galaxyproject.org/training-material/hall-of-fame/nomadscientist/)1
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• • Target audience
  • 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.2
  • Academics, post-graduate students, and anyone looking to learn this essential bioinformatics skill.1
  • Graduates, postgraduates, PIs and anyone who wants to learn how to prepare DNA libraries for short read sequencing.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
  • 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 workshop is aimed at researchers and technical workers with a background in biology who want to learn programming. The syllabus has been planned with complete beginners in mind; people with previous programming experience are welcome to attend as a refresher but may find the pace a bit slow. If in doubt, take a look at the detailed session content below.1
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  • United Kingdom10
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