Creates a new Genomic Database.
Usage
gdb.create(
groot = NULL,
fasta = NULL,
genes.file = NULL,
annots.file = NULL,
annots.names = NULL,
format = NULL,
verbose = FALSE
)Arguments
- groot
path to newly created database
- fasta
an array of names or URLs of FASTA files. Can contain wildcards for multiple files
- genes.file
name or URL of file that contains genes. If 'NULL' no genes are imported
- annots.file
name of URL file that contains annotations. If 'NULL' no annotations are imported
- annots.names
annotations names
- format
database format: "indexed" (default, single genome.seq + genome.idx) or "per-chromosome" (separate .seq file per contig). If NULL, uses the value from
getOption("gmulticontig.indexed_format", TRUE)- verbose
if TRUE, prints verbose messages
Details
This function creates a new Genomic Database at the location specified by 'groot'. FASTA files are converted to 'Seq' format and appropriate 'chrom_sizes.txt' file is generated (see "User Manual" for more details).
Two database formats are supported:
indexed: Single genome.seq + genome.idx (default). Recommended for genomes with many contigs. Provides better performance and scalability.
per-chromosome: Separate .seq file per contig. A FASTA file holding one record gives one contig, named after the file; a file holding several records gives one contig per record, named after its header as in the indexed format.
If 'genes.file' is not 'NULL' four sets of intervals are created in the
database: tss, exons, utr3 and utr5. See
gintervals.import_genes for more details about importing genes
intervals.
'fasta', 'genes.file' and 'annots.file' can be either a file path or URL in a form of 'ftp://[address]/[file]'. 'fasta' can also contain wildcards to indicate multiple files. Files that these arguments point to can be zipped or unzipped.
See the 'Genomes' vignette for details on how to create a database from common genome sources.
Examples
# \donttest{
# ftp <- "ftp://hgdownload.soe.ucsc.edu/goldenPath/mm10"
# mm10_dir <- file.path(tempdir(), "mm10")
# # only a single chromosome is loaded in this example
# # see "Genomes" vignette how to download all of them and how
# # to download other genomes
# gdb.create(
# mm10_dir,
# paste(ftp, "chromosomes", paste0(
# "chr", c("X"),
# ".fa.gz"
# ), sep = "/"),
# paste(ftp, "database/knownGene.txt.gz", sep = "/"),
# paste(ftp, "database/kgXref.txt.gz", sep = "/"),
# c(
# "kgID", "mRNA", "spID", "spDisplayID", "geneSymbol",
# "refseq", "protAcc", "description", "rfamAcc",
# "tRnaName"
# )
# )
# gdb.init(mm10_dir)
# gintervals.ls()
# gintervals.all()
# }