Creates a nested list of Dorado tail features (raw signal + pseudomoves).

This function processes raw poly(A) tail signal traces from Dorado and computes pseudomoves using a threshold-based filter. Each read is stored in a nested list structure, keyed by its read ID, with both the raw signal and the computed pseudomove vector.

Usage

create_tail_features_list_dorado(signal_list, num_cores)

Arguments

signal_list

list of numeric vectors. Each element must represent a raw poly(A) tail signal trace, with list names corresponding to read IDs.

num_cores

numeric [1]. Number of physical cores to use in processing. Do not exceed 1 less than the total available cores on your system.

Value

A nested list of tail features, organized by read IDs. Each read entry contains:

• tail_signal: numeric vector of the raw poly(A) tail signal.

• tail_pseudomoves: numeric vector of pseudomove states computed by ninetails::filter_signal_by_threshold.

Details

Unlike Guppy-based pipelines, Dorado does not provide moves directly in BAM files, so pseudomoves are computed empirically from the raw signal traces.

Parallel execution is handled with foreach and doSNOW, and a progress bar is displayed during processing.

Examples

if (FALSE) { # \dontrun{
features <- ninetails::create_tail_features_list_dorado(
  signal_list = signals,
  num_cores = 4
)
} # }