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DESCRIPTION

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Package: rnaseqDTU
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Title: RNA-seq workflow for differential transcript usage following Salmon quantification
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Version: 0.99.18
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Version: 0.99.19
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Date: 2018-06-27
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Authors@R: c(person(role=c("aut", "cre"), "Michael", "Love", email = "michaelisaiahlove@gmail.com"),
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person(role=c("aut"), "Charlotte", "Soneson"),

vignettes/rnaseqDTU.Rmd

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Our DTU and DGE `countsFromAbundance` recommendations are
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summarized in Figure \@ref(fig:diagram).
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A final note is that, the motivation for using `scaledTPM` counts
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hinges on the fact that estimated fragment counts scale with
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transcript length in fragmented RNA-seq data. If a different experiment
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is performed and a different quantification method used to produce
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counts per transcript which *do not* scale with transcript length,
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then the recommendation would be to use these counts per transcript directly.
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Examples of experiments producing counts per transcript that would potentially
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not scale with transcript length include
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counts of full-transcript-length or nearly-full-transcript-length reads,
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or counts of 3' tagged RNA-seq reads aggregated to transcript groups.
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In either case, the statistical methods for DTU could be provided directly
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with the transcript counts.
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The following code chunk is what one would use in a typical analysis,
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but is not evaluated in this workflow because the quantification files
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are not provided in the *rnaseqDTU* package due to size restrictions.

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