Last updated: 2021-08-13
Checks: 1 1
Knit directory: Turati_NatCancer_2021/ 
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    Ignored:    data/bulk4_dds.rda
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    Ignored:    data/signatures.rda
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    Ignored:    output/deseq2-mini_bulk4_dds.pt2-Acutely treated-vs-Never treated.rds
    Ignored:    output/deseq2-mini_bulk4_dds.pt2-Chronically treated-vs-Never treated.rds
    Ignored:    output/deseq2-mini_bulk4_dds.pt2-Relapse-vs-Never treated.rds
    Ignored:    output/deseq2-mini_bulk4_dds.pt2-Treatment withdrawn-vs-Never treated.rds
    Ignored:    output/figures/ExtFig5a_pca_3patients.pdf
    Ignored:    output/figures/ExtFig5b_pca_treatment_response.pdf
    Ignored:    output/tables/ExtFig5a_bulkRNAseq_data.xlsx
    Ignored:    output/tables/ExtFig5b_bulkRNAseq_data.xlsx
Unstaged changes:
    Modified:   _workflowr.yml
Staged changes:
    Modified:   analysis/bulkRNA-index.Rmd
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| File | Version | Author | Date | Message | 
|---|---|---|---|---|
| Rmd | 146911e | Javier Herrero | 2021-08-13 | Adding Bulk RNAseq / PCA page | 
| html | 146911e | Javier Herrero | 2021-08-13 | Adding Bulk RNAseq / PCA page | 
| Rmd | 42e5864 | Javier Herrero | 2021-08-13 | Init workflowr website | 
| html | 42e5864 | Javier Herrero | 2021-08-13 | Init workflowr website | 
This analysis is used in Figure S5A and S5B of the mss.
DESeq2 uses the top 500 most variable genes by default to draw the PCA. In this case, we are using the top 1000 genes (for historical reasons).
This runs DESeq2 and stores the results in the output folder.