Introduction to bulk RNAseq analysis: supplementary material
<p><strong>Vampirium setup</strong></p><p>This archive contains materials (datasets, exercises and slides, etc) used for the Introduction to bulk RNAseq analysis workshop taught at the University of Copenhagen by the Center for Health Data Science (HeaDS). The course repo can be found on <a href="https://github.com/hds-sandbox/bulk_RNAseq_course">Github</a>:</p><p>Assignments.zip contains exercises for the preprocessing part of the course, like fastqc and multiqc examples of bulk RNAseq experiments</p><p>Data.zip contains count matrices (both traditional counts and salmon pseudocounts), as well as sample metadata (samplesheet.csv) and backup results from the preprocessing pipeline.</p><p>Notes.zip contains supplementary materials such as extra pdfs for more information on bulk RNAseq technology.</p><p>Slides.zip contains all the slides used in the workshop.</p><p>raw_reads.zip contains the raw reads from the bulk RNAseq experiment (<a href="https://doi.org/10.1016/j.celrep.2014.10.054">10.1016/j.celrep.2014.10.054</a>) used in this course.</p>
ShareScore
48/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 12
- Harmonization
- 8
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 4