
Package index
-
import_mut_data() - Import tabular mutation data
-
import_vcf_data() - Import a VCF file
-
filter_mut() - Filter your mutation data
-
calculate_mf() - Calculate mutation frequency
-
load_regions_file() - Imports the regions file
-
find_BS_genome() - Find the appropriate BS genome for the specified organism and genome.
-
classify_variation() - classify_variation
-
plot_mf() - Plot the Mutation Frequency
-
plot_mean_mf() - Plot the Mean Mutatation Frequency
-
model_mf() - Perform linear modelling on mutation frequency for given fixed and random effects
-
plot_model_mf() - Plot your mf model
-
sidak() - Correct p-values for multiple comparisons
-
bmd_proast() - BMD modeling using PROAST
-
plot_ci() - plot_ci
-
plot_spectra() - Plot spectra
-
plot_trinucleotide() - Plot the trinucleotide spectrum
-
plot_trinucleotide_heatmap() - Create a heatmap plot of mutation subtype proportions.
-
spectra_comparison() - Compare the overall mutation spectra between groups
-
signature_fitting() - Run COSMIC signatures comparison using SigProfilerAssignment
-
cluster_spectra() - Hierarchical Clustering
-
plot_bubbles() - Generate Bubble Plots
-
plot_lollipop() - Plot recurrent mutations in a lollipop plot using ggplot2
-
plot_radar() - Create a radar plot
-
BS_org_map - BS genome organism dictionary
-
context_list - A list of reference contexts at different resolutions
-
subtype_dict - Subtype Resolution Dictionary
-
subtype_list - A comprehensive list of mutation subtypes at different resolutions
-
denominator_dict - Values used for denominators in frequency calculations
-
op - Dictionary of column name synonyms for required mutation data columns
-
write_mutation_calling_file() - Write the mutation calling file to input into the SigProfiler Assignment web application.
-
write_mutational_matrix() - Write a Mutational Matrix to input into the sigprofiler web application
-
write_reference_fasta() - Write FASTA file of reference sequences.
-
write_vcf_from_mut() - Write mutation_data to a VCF file
-
write_excel() - Write Excel tables
-
render_report() - Read configuration file and render R Markdown document
-
annotate_cpg_sites() - Annotate CpG sites
-
get_binom_ci() - Add binomial confidence intervals to mutation frequencies.
-
get_cpg_mutations() - Get mutations at CpG sites.
-
get_cpg_regions() - Get the coordinates of the CpG sites within your genomic regions
-
get_seq() - Get sequence of genomic target regions
-
print_ascii_art() - This function prints ASCII art when the package is loaded
-
import_regions_metadata() - Join Regions Metadata
-
import_sample_data() - Join Sample Metadata
-
populate_sequence_context() - Populate Sequence context
-
rename_columns() - Map column names of mutation data to default column names. A utility function that renames columns of mutation data to default columns names.
-
check_required_columns() - Check that all required columns are present before proceeding with the function
-
get_ref_of_mut() - A utility function that will return the reference context of a mutation
-
reverseComplement() - Get the reverse complement of a DNA or RNA sequence.
-
characterize_variants() - Characterize Variants
-
setup_mutseqr_python() - Set up Python environment for MutSeqR
-
f.proast() - Run dose-response modeling using PROAST.
-
f.plot.result() - Plot the PROAST results
-
f.plot.gui() - Manages plotting for PROAST
-
cleveland_plot() - Cleveland Plot