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Content provider
- Bioconductor1
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Keyword
- RNA-Seq
- R2
- R Studio2
- R-programming1
- Andmehaldusplaan1
- Bioconductor1
- DMP1
- Data Management Plan1
- Data management1
- Differential Expression1
- Differential expression analysis1
- GROMACS1
- Gene Expression1
- Gene set analysis1
- Jupyter notebook1
- KNIME1
- OpenRefine1
- Python1
- Quarto1
- RNA-seq1
- Rmarkdown1
- Transcriptomics1
- andmehaldus1
- data cleaning1
- data visualisation1
- dplyr1
- ggplot21
- tidyverse1
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Scientific topic
- Comparative transcriptomics1
- Transcriptome1
- Transcriptomics1
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- Workshops and courses1
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- Gent1
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- Belgium1
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Sponsor
- Flanders1
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Target audience
- Beginners
- Biologists2
- Molecular Biologists2
- Biological sciences research students and postdocs who may want to use HPC in their research.Please note that Biochemistry first year graduate students book this course via their Moodle site not here.1
- Early Career Researchers (ECRs)1
- Job seeker1
- Pathologists1
- PhD Scholars, Graduates and Post Graduates, Professors, Associate Professors, Assistant Professors, Bio instruments Professionals, Bio-informatics Professionals, Directors, CEO’s of Organizations, Supply Chain companies, Manufacturing Companies, Software development companies, Research Institutes and members1
- PhD students and young researchers in the life science and computational biology field who are planning to use RNA-seq data and are looking for the best practices to analyze these types of data1
- Small and Medium-sized Enterprises (SMEs)1
- geneticists1
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Eligibility
- First come first served1
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