Description Usage Arguments Value Author(s) See Also Examples
Randomly selects SNPs for which each pair is at least as far apart as the specified basepair distance.
1 2 | snpgdsApartSelection(chromosome, position, min.dist=100000,
max.n.snp.perchr=-1, verbose=TRUE)
|
chromosome |
chromosome codes |
position |
SNP positions in base pair |
min.dist |
A numeric value to specify minimum distance required (in basepairs) |
max.n.snp.perchr |
A numeric value specifying the maximum number of SNPs to return per chromosome, "-1" means no number limit |
verbose |
if TRUE, show information |
A logical vector indicating which SNPs were selected.
Xiuwen Zheng
1 2 3 4 5 6 7 8 9 10 11 12 13 | # open an example dataset (HapMap)
genofile <- snpgdsOpen(snpgdsExampleFileName())
genofile
chr <- read.gdsn(index.gdsn(genofile, "snp.chromosome"))
pos <- read.gdsn(index.gdsn(genofile, "snp.position"))
set.seed(1000)
flag <- snpgdsApartSelection(chr, pos, min.dist=250000, verbose=TRUE)
table(flag)
# close the genotype file
snpgdsClose(genofile)
|
Loading required package: gdsfmt
SNPRelate -- supported by Streaming SIMD Extensions 2 (SSE2)
File: /usr/local/lib/R/site-library/SNPRelate/extdata/hapmap_geno.gds (709.6K)
+ [ ] *
|--+ sample.id { VStr8 279 ZIP(29.9%), 679B }
|--+ snp.id { Int32 9088 ZIP(34.8%), 12.3K }
|--+ snp.rs.id { VStr8 9088 ZIP(40.1%), 36.2K }
|--+ snp.position { Int32 9088 ZIP(94.7%), 33.6K }
|--+ snp.chromosome { UInt8 9088 ZIP(0.94%), 85B } *
|--+ snp.allele { VStr8 9088 ZIP(11.3%), 4.0K }
|--+ genotype { Bit2 279x9088, 619.0K } *
\--+ sample.annot [ data.frame ] *
|--+ family.id { VStr8 279 ZIP(34.4%), 514B }
|--+ father.id { VStr8 279 ZIP(31.5%), 220B }
|--+ mother.id { VStr8 279 ZIP(30.9%), 214B }
|--+ sex { VStr8 279 ZIP(17.0%), 95B }
\--+ pop.group { VStr8 279 ZIP(6.18%), 69B }
Thu Jan 17 23:49:13 2019 Chromosome 1, # of SNPs: 365
Thu Jan 17 23:49:13 2019 Chromosome 2, # of SNPs: 370
Thu Jan 17 23:49:13 2019 Chromosome 3, # of SNPs: 314
Thu Jan 17 23:49:13 2019 Chromosome 4, # of SNPs: 294
Thu Jan 17 23:49:13 2019 Chromosome 5, # of SNPs: 291
Thu Jan 17 23:49:13 2019 Chromosome 6, # of SNPs: 280
Thu Jan 17 23:49:13 2019 Chromosome 7, # of SNPs: 245
Thu Jan 17 23:49:13 2019 Chromosome 8, # of SNPs: 232
Thu Jan 17 23:49:13 2019 Chromosome 9, # of SNPs: 203
Thu Jan 17 23:49:13 2019 Chromosome 10, # of SNPs: 224
Thu Jan 17 23:49:13 2019 Chromosome 11, # of SNPs: 227
Thu Jan 17 23:49:13 2019 Chromosome 12, # of SNPs: 215
Thu Jan 17 23:49:13 2019 Chromosome 13, # of SNPs: 175
Thu Jan 17 23:49:13 2019 Chromosome 14, # of SNPs: 147
Thu Jan 17 23:49:13 2019 Chromosome 15, # of SNPs: 127
Thu Jan 17 23:49:13 2019 Chromosome 16, # of SNPs: 128
Thu Jan 17 23:49:13 2019 Chromosome 17, # of SNPs: 112
Thu Jan 17 23:49:13 2019 Chromosome 18, # of SNPs: 127
Thu Jan 17 23:49:13 2019 Chromosome 19, # of SNPs: 76
Thu Jan 17 23:49:13 2019 Chromosome 20, # of SNPs: 107
Thu Jan 17 23:49:13 2019 Chromosome 21, # of SNPs: 63
Thu Jan 17 23:49:13 2019 Chromosome 22, # of SNPs: 54
Thu Jan 17 23:49:13 2019 Chromosome 23, # of SNPs: 215
Total # of SNPs selected:4591
flag
FALSE TRUE
4497 4591
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