Cluster SNPs with HDBSCAN and identify haplotypes
Source:R/run_hdbscan_haplotyping.R
run_hdbscan_haplotyping.Rd
run_hdbscan_haplotyping() performs HDBSCAN clustering of SNPs in region of interest to identify marker groups. Individuals are classified by haplotype combination based on shared combinations of marker group alleles. Returns a comprehensive haplotyping object (HapObject), which can be visualized with reference to phenotype and metadata using crosshap_viz() (set epsilon to 1 as a dummy value).
Usage
run_hdbscan_haplotyping(
vcf,
LD,
pheno,
MGmin,
minHap = 5,
hetmiss_as = "allele",
metadata = NULL,
keep_outliers = FALSE
)
Arguments
- vcf
Input VCF for region of interest.
- LD
Pairwise correlation matrix of SNPs in region (e.g. from PLINK).
- pheno
Input numeric phenotype data for each individual.
- MGmin
Minimum SNPs in marker groups, MinPts parameter for DBscan.
- minHap
Minimum nIndividuals in a haplotype combination.
- hetmiss_as
If hetmiss_as = "allele", heterozygous-missing SNPs './N' are recoded as 'N/N', if hetmiss_as = "miss", the site is recoded as missing.
- metadata
Metadata input (optional).
- keep_outliers
When FALSE, marker group smoothing is performed to remove outliers.