View source: R/get_genome_builds.R
| get_genome_builds | R Documentation | 
Infers the genome build of summary statistics files (GRCh37 or GRCh38) from the data. Uses SNP (RSID) & CHR & BP to get genome build.
get_genome_builds(
  sumstats_list,
  header_only = TRUE,
  sampled_snps = 10000,
  names_from_paths = FALSE,
  dbSNP = 155,
  nThread = 1,
  chr_filt = NULL
)
sumstats_list | 
 A named list of paths to summary statistics,
or a named list of   | 
header_only | 
 Instead of reading in the entire   | 
sampled_snps | 
 Downsample the number of SNPs used when inferring genome build to save time.  | 
names_from_paths | 
 Infer the name of each item in   | 
dbSNP | 
 version of dbSNP to be used (144 or 155). Default is 155.  | 
nThread | 
 Number of threads to use for parallel processes.  | 
chr_filt | 
 Internal for testing - filter reference genomes and sumstats to specific chromosomes for testing. Pass a list of chroms in format: c("1","2"). Default is NULL i.e. no filtering  | 
Iterative version of get_genome_build.
ref_genome the genome build of the data
# Pass path to Educational Attainment Okbay sumstat file to a temp directory
eduAttainOkbayPth <- system.file("extdata", "eduAttainOkbay.txt",
    package = "MungeSumstats"
)
sumstats_list <- list(ss1 = eduAttainOkbayPth, ss2 = eduAttainOkbayPth)
## Call uses reference genome as default with more than 2GB of memory,
## which is more than what 32-bit Windows can handle so remove certain checks
is_32bit_windows <-
    .Platform$OS.type == "windows" && .Platform$r_arch == "i386"
if (!is_32bit_windows) {
    
    #multiple sumstats can be passed at once to get all their genome builds:
    #ref_genomes <- get_genome_builds(sumstats_list = sumstats_list)
    #just passing first here for speed
    sumstats_list_quick <- list(ss1 = eduAttainOkbayPth)
    ref_genomes <- get_genome_builds(sumstats_list = sumstats_list_quick,
                                     dbSNP=144)
}
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