Compute charging ratio differences between conditions.
Source:R/read-charging.R
compute_charging_diffs.RdCompare per-tRNA charging ratios (charged / total) between two conditions, summarizing replicates with mean and standard error and computing the between-condition difference with propagated SE.
Usage
compute_charging_diffs(
charging_data,
condition_col = "condition",
numerator,
denominator,
min_count = 50,
n_top = NULL
)Arguments
- charging_data
A tibble from
read_charging_multi()with an added condition column. Must containref,counts_charged,counts_uncharged,sample_id, and the column named bycondition_col.- condition_col
Column name (string) for condition labels. Default
"condition".- numerator
Value of
condition_colfor the numerator condition.- denominator
Value of
condition_colfor the denominator condition.- min_count
Minimum total reads (charged + uncharged) per tRNA per sample to include. Default
50.- n_top
If non-
NULL, keep only the topn_toptRNAs by total abundance across all samples. DefaultNULL(keep all).
Value
A tibble with columns:
- ref
tRNA identifier (factor ordered by
diff).- ratio_numerator
Mean charging ratio for the numerator condition.
- ratio_denominator
Mean charging ratio for the denominator condition.
- se_numerator
Standard error of the numerator ratio.
- se_denominator
Standard error of the denominator ratio.
- diff
Difference:
ratio_numerator - ratio_denominator.- se_diff
Propagated SE:
sqrt(se_numerator^2 + se_denominator^2).
Examples
config_path <- clover_example("ecoli/config.yaml")
results <- read_pipeline_results(config_path, types = "charging")
charging <- results$charging
charging$condition <- ifelse(
grepl("ctl", charging$sample_id), "ctl", "inf"
)
compute_charging_diffs(
charging,
numerator = "inf",
denominator = "ctl"
)
#> # A tibble: 88 × 7
#> ref ratio_numerator ratio_denominator se_numerator se_denominator diff
#> <fct> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 host-t… 0.552 0.581 0.0503 0.0177 -0.0282
#> 2 host-t… 0.462 0.509 0.0550 0.0109 -0.0477
#> 3 host-t… 0.533 0.601 0.0572 0.0383 -0.0679
#> 4 host-t… 0.622 0.659 0.0359 0.0547 -0.0362
#> 5 host-t… 0.447 0.521 0.0546 0.0101 -0.0748
#> 6 host-t… 0.585 0.679 0.0641 0.0292 -0.0940
#> 7 host-t… 0.624 0.706 0.0530 0.0465 -0.0826
#> 8 host-t… 0.601 0.686 0.0541 0.0313 -0.0849
#> 9 host-t… 0.594 0.705 0.0510 0.0173 -0.111
#> 10 host-t… 0.330 0.436 0.0491 0.0419 -0.106
#> # ℹ 78 more rows
#> # ℹ 1 more variable: se_diff <dbl>