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@@ -3,11 +3,11 @@
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This is a pair of spreadsheets summarizing the globin-reducing
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properties of an experimental RNA-seq protocol.
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-- [method-select.xlsx](method-select.xlsx) shows the results for
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+- [`method-select.xlsx`](method-select.xlsx) shows the results for
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several different methods of globin reduction. The most important
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column is "Non-HB", which represents the fraction of total reads
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that map to non-globin genes.
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-- [concentration-select.xlsx](concentration-select.xlsx) shows the
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+- [`concentration-select.xlsx`](concentration-select.xlsx) shows the
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results of selecting the best globin blocking method and optimizing
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the concentration of blockers as well as the number of
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hybridizations.
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@@ -17,17 +17,17 @@ properties of an experimental RNA-seq protocol.
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This is a series of example plots for evaluation of a similar globin
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reduction protocol that was designed for cynomolgus monkeys.
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-- [BCVplots.pdf](BCVplots.pdf) and [corrplot.pdf](corrplot.pdf) show,
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- respectively, that the biological coefficient of variation is not
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- increased, and the sample-to-sample correlation is not decreased, by
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- the globin reduction protocol.
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-- [cyno-vs-hg19.pdf](cyno-vs-hg19.pdf) shows excellent correlation
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+- [`BCVplots.pdf`](BCVplots.pdf) and [`corrplot.pdf`](corrplot.pdf)
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+ show, respectively, that the biological coefficient of variation is
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+ not increased, and the sample-to-sample correlation is not
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+ decreased, by the globin reduction protocol.
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+- [`cyno-vs-hg19.pdf`](cyno-vs-hg19.pdf) shows excellent correlation
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between total read counts on the cyno and human genomes, indicating
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that the cyno annotation is reasonably complete.
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-- [maplot.pdf](maplot.pdf) shows an MA plot of the effects of globin
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+- [`maplot.pdf`](maplot.pdf) shows an MA plot of the effects of globin
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reduction. Notably, there are real and significant effects on
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non-globin genes, but they are consistent and predictable.
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-- [pval-comparisons.pdf](pval-comparisons.pdf) shows the comparison
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+- [`pval-comparisons.pdf`](pval-comparisons.pdf) shows the comparison
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between p-values from edgeR, limma-voom, and DESeq2 on the exact
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same differential expression test. Surprisingly, despite the
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significant algorithmic differences, edgeR and limma are in quite
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