Barplot of shift scores ranked by score.

plot_shift_rank(
  experiment,
  samples = "all",
  score_order = "descending",
  ncol = 3
)

Arguments

experiment

TSRexploreR object.

samples

A vector of sample names to analyze.

score_order

Either 'descending' or 'ascending'.

ncol

Integer specifying the number of columns to arrange multiple plots.

Value

ggplot2 object of ranked shifting scores.

Details

The 'tss_shifting' function uses the earth mover's score (EMS) to assess shifts in TSS distribution in consensus TSRs between two samples. This function generates a barplot of shifting scores, with the x-axis corresponding to TSS clusters ordered by tss shifting score, and the y-axis the shifting score. TSRs can be in ascending or descending order as controlled by 'score_order'.

See also

tss_shift to calculate TSS cluster shifting.

Examples

data(TSSs) assembly <- system.file("extdata", "S288C_Assembly.fasta", package = "TSRexploreR") samples <- data.frame( sample_name=c(sprintf("S288C_D_%s", seq_len(3)), sprintf("S288C_WT_%s", seq_len(3))), file_1=rep(NA, 6), file_2=rep(NA, 6), condition=c(rep("Diamide", 3), rep("Untreated", 3)) ) exp <- TSSs %>% tsr_explorer(sample_sheet=samples, genome_assembly=assembly) %>% format_counts(data_type="tss") %>% tss_clustering(threshold=3) %>% merge_samples(data_type="tss", merge_group="condition") %>% merge_samples(data_type="tsr", merge_group="condition") %>% tss_shift( sample_1=c(TSS="S288C_WT_1", TSR="S288C_WT_1"), sample_2=c(TSS="S288C_D_1", TSR="S288C_D_1"), comparison_name="Untreated_vs_Diamide", max_distance = 100, min_threshold = 10, n_resamples = 1000L )
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#> Warning: Some sequences have fewer than nthresh scores for at least one sample. #> These are ignored and returned as NA.
#> Joining, by = c("fhash", "sample_indicator")
p <- plot_shift_rank(exp)