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  • Edinburgh Genomics
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  • Gene expression5
  • Genomics4
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  • RNAseq4
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  • Beginner1
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  • Workshops and courses20
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  • Edinburgh Genomics
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  • 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.3
  • 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.3
  • 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.3
  • 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.2
  • 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.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
  • Note, to ensure a high quality of training for everyone, we will be limiting places for those with no/limited lab experience to 2 for this course.1
  • PhD, Postdocs1
  • PhD, Postdocs, Anyone starting to analyse long read data1
  • 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 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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