Handling Raw Data

These functions assist with running the nf-core/rnaseq pipeline and handling the output

combine_txi_objects()

combine two txi objects

Sex Mislabe QC Functions

These functions are used in the Sex Mislabelling QC Vignette

sex_mislabel_setup()

set up the QC notebook with the data sets which are used throughout

top_500_pca_for_sex_mislabels()

Use the top 500 most variable genes to calculate PCs and infer sex

Batch Effect QC Functions

These functions are used in in the Batch Effects QC Vignette

batch_effect_qc_setup()

set up the QC notebook with the data sets which are used throughout

before_after_pca_and_plate_regression_plots()

Before and After PCA and Plate Regression Plots

direction_change_in_percent_intergenic()

make a plot showing the direction of percent intergenic on PC1/2 axis

filter_dds_restimate_sizeFactors()

Apply boolean vector filtering on the columns and/or rows and return filtered DDS object with size factors

project_counts_onto_orig_pcs()

Project counts, presumably with some effect removed, onto different PCs

remove_parameter_effects()

remove coefficient effects from counts

Variant Comparison

Functions used to compare RNA variant and WGS data

parse_all_by_all_compiled_results()

summarize an all_by_all_compiled_metrics dataframe for upload to the database