Commit 1f1c298c authored by Matteo Barcella's avatar Matteo Barcella
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Update README.md

parent 63324d0a
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"-T {threads} " + "-T {threads} " +
"{input.bams} " "{input.bams} "
</details> </details>
5. Differential Expression analysis with [Deseq2](https://bioconductor.org/packages/release/bioc/html/DESeq2.html) and [edgeR](https://doi.org/10.1093/bioinformatics/btp616).
For Thal vs HD comparison intra population (HSC or MPP - n = 2) we used the simple design with counts ~ condition, whereas for assessing differencies between Thal and HD in HSC and MPP togheter we included the celltype covariate : count ~ celltype + condition. Genes with an FDR < 0.05 or < 0.001 were considered DEGs for intra population comparisons and combined (HSC + MPP) with covariate respectively.
6. Downstream analysis
We performed Over Representation Analyses (ORA) and Gene Set Enrichment Analyses (GSEA) using R/Bioconductor package [clusterProfiler](https://bioconductor.org/packages/release/bioc/html/clusterProfiler.html) (v.3.8.1). Pre-ranked gene list according to log2FC was used to perform Gene Set Enrichment Analysis (GSEA). Terms with adjusted p-value (Benjiamini-Hochber correction) less than 0.05 were considered significantly enriched.
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