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TCGA BRCA cancer dataset

<p>Following the same steps that we used in the previous <a href="https://cafernandezlo.github.io/es_fic_mubics_ggplot_dplyr/ggplot-dplyr.html">course</a> we downloaded the TCGA-BRCA using <a href="https://www.r-project.org/">R</a> and <a href="https://www.bioconductor.org/">Bioconductor</a> and in particular the <a href="https://www.bioconductor.org/packages/release/bioc/html/TCGAbiolinks.html">TCGABiolinks</a> package. We downloaded transcriptome profiling of gene expression quantification where the experimental strategy is (RNAseq) and the workflow type is HTSeq-FPKM-UQ and only primary solid tumor data of the affymetrix GPL86 profile and clinical data.</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4

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