Description Usage Arguments Details Value Author(s) References See Also Examples
Convert a PLINK PED text file to a GDS file.
1 2 | snpgdsPED2GDS(ped.fn, map.fn, out.gdsfn, family=TRUE, snpfirstdim=FALSE,
compress.annotation="ZIP_RA.max", compress.geno="", verbose=TRUE)
|
ped.fn |
the file name of PED file, genotype information |
map.fn |
the file name of MAP file |
out.gdsfn |
the output GDS file |
family |
if |
snpfirstdim |
if TRUE, genotypes are stored in the individual-major mode, (i.e, list all SNPs for the first individual, and then list all SNPs for the second individual, etc) |
compress.annotation |
the compression method for the GDS variables,
except "genotype"; optional values are defined in the function
|
compress.geno |
the compression method for "genotype"; optional
values are defined in the function |
verbose |
if TRUE, show information |
GDS – Genomic Data Structures, the extended file name used for storing genetic data, and the file format is used in the gdsfmt package.
PED – PLINK PED format.
None.
Xiuwen Zheng
Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MAR, Bender D, Maller J, Sklar P, de Bakker PIW, Daly MJ & Sham PC. 2007. PLINK: a toolset for whole-genome association and population-based linkage analysis. American Journal of Human Genetics, 81.
snpgdsGDS2PED
, snpgdsBED2GDS
,
snpgdsGDS2BED
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | # open
genofile <- snpgdsOpen(snpgdsExampleFileName())
snpgdsGDS2PED(genofile, "tmp")
# close
snpgdsClose(genofile)
# PED ==> GDS
snpgdsPED2GDS("tmp.ped", "tmp.map", "test.gds")
# delete the temporary file
unlink(c("tmp.ped", "tmp.map", "test.gds"), force=TRUE)
|
Loading required package: gdsfmt
SNPRelate -- supported by Streaming SIMD Extensions 2 (SSE2)
Converting from GDS to PLINK PED:
Output a MAP file DONE.
Output a PED file ...
Output: Fri Jan 12 11:11:11 2018 0%
Output: Fri Jan 12 11:11:12 2018 100%
PLINK PED/MAP to GDS Format:
Import 9088 variants from 'tmp.map'
Chromosome:
1 10 11 12 13 14 15 16 17 18 19 2 20 21 22 3 4 5 6 7
716 483 447 427 344 282 262 278 207 266 120 742 229 126 116 609 562 566 565 472
8 9 X
488 416 365
Reading 'tmp.ped'
Output: 'test.gds'
Import 279 samples
Transpose the genotypic matrix ...
Done.
Optimize the access efficiency ...
Clean up the fragments of GDS file:
open the file 'test.gds' (1.3M)
# of fragments: 50
save to 'test.gds.tmp'
rename 'test.gds.tmp' (711.4K, reduced: 618.7K)
# of fragments: 26
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