Differential expression runs with DESeq2. Link to code.

I think what ended up being the most interesting is the combined run accouning for sex and treatment, All of the observed differences in expression appear to be sex-based, but this in and of itself is interesting and it gives us the IDs of 2370 differentially expressed lncRNAs between female and male sample groups.

Combined Run

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  • 2370 significantly differentially expressed lncRNA

PCA - treatment

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PCA - sex

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PCA - treatment - labelled

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PCA - sex - labelled

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Top 50 Heatmap

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  • Clustered by sex

Female Run

Volcano Plot

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  • 1 significantly differentially expressed lncRNA

PCA - treatment

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PCA - treatment - labelled

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Top 50 Heatmap

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  • Clustered by treatment group

Male Run

Volcano Plot

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  • 5 significantly differentially expressed lncRNAs

PCA - treatment

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PCA - treatment - labelled

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Top 50 Heatmap

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  • Clustered by treatment group