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All functions

gt4_binary_path()
Locate a bundled GenomeTester4 executable
gt4_run() gmer_counter() glistcompare() glistmaker() glistquery() gassembler() gmer_caller()
Run GenomeTester4 binaries with processx
gt4_run_script() generate_vcf() katk2vcf() make_intersection() make_union() collate_repeats() find_regions() filter_collated() filter_final() unique_repeats()
Run GenomeTester4 Perl scripts with processx
gt4_script_path()
Locate a bundled GenomeTester4 Perl script
niptmer_bind_count_table()
Append sample count rows to a NIPTmer reference count table
niptmer_build_reference_lists()
Build unique per-chromosome reference k-mer lists
niptmer_compute_coverage()
Compute per-sample coverage from count matrix
niptmer_count_sample_list()
Count a sample list against chromosome NIPTmer lists
niptmer_diagnose_controls()
Diagnose control-group outliers using leave-one-out chromosome z-scores
niptmer_filter_controls()
Filter control-group outliers
niptmer_interpret()
Interpret a NIPTmer score row into a compact call
niptmer_make_sample_list()
Build a sample k-mer list for NIPTmer
niptmer_match_qc()
Compute Match QC score for one sample
niptmer_match_qc_threshold()
Estimate Match QC threshold from a control set
niptmer_prepare_counts()
Prepare NIPTmer count data
niptmer_read_table()
Read a NIPTmer count table
niptmer_ref_apply_whitelist()
Intersect a reference panel with a whitelist
niptmer_ref_blacklist_from_bed()
Build a BED-region blacklist
niptmer_ref_blacklist_from_vcf()
Build a polymorphism blacklist from population VCF files
niptmer_ref_build()
Build a reference panel using population-specific filters
niptmer_ref_import()
Import an existing per-chromosome reference panel
niptmer_ref_profile_ulcwgs()
Suggested defaults for ULCWGS reference-building
niptmer_ref_qc()
Summarize reference panel list sizes and GC content
niptmer_ref_stability_whitelist()
Build a population stability whitelist from euploid controls
niptmer_ref_subtract_blacklists()
Subtract one or more blacklist lists from a reference panel
niptmer_run_sample()
Run the file-oriented NIPTmer sample workflow
niptmer_score_samples()
Run the NIPTmer regression model on count data
niptmer_select_reference_subset()
Select best-matching control subset for a sample
niptmer_write_xya()
Write legacy NIPTmer XYA interpretation output
niptmer_write_zscore()
Write legacy NIPTmer z-score output