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Content provider
- Edinburgh Genomics8
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Keyword
- Command line2
- Gene expression2
- Genomics2
- Linux2
- RNAseq2
- Software2
- Data analysis1
- EdgeR1
- GATK1
- Germline1
- Hi-C1
- Long-read1
- Nanopore1
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- Reproducible1
- Rstudio1
- Salmon1
- Short read1
- Short-read1
- Single cell1
- Somatic1
- Statistics1
- Tidyverse1
- Transcriptomics1
- Variant1
- Workflow1
- ggplot21
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Event type
- Workshops and courses8
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Organizer
- Edinburgh Genomics
- SIB Swiss Institute of Bioinformatics (https://ror.org/002n09z45)24
- European Bioinformatics Institute (EBI)9
- NEOF7
- de.NBI / ELIXIR-DE6
- VIB5
- Australian BioCommons2
- PHENET2
- GHGA1
- 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, 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
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