Main pipeline functions

do_ensembl_organism()

Create a polyApiper organism directory based on ENSEMBL annotation in AnnotationHub

do_pipeline()

Analyse the output of polyApipe.py

After the pipeline has run

load_banquet()

Load directories lazily, and load RDS and HDF5Array summarized experiments

Lower level functions to load from polyApipe.py

load_peaks_counts_dir_into_sce()

Load a directory of peak counts files into a SingleCellExperiment object

load_peaks_counts_files_into_sce()

Load multiple peak counts files into a SingleCellExperiment object

load_peaks_counts_into_sce()

Load peak counts file into a SingleCellExperiment object

read_polyA_peak_file_gtf()

Read in the polyA peaks gtf file