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Retrieve a Collection: Genome, Proteome, CDS, RNA, GFF, Repeat Masker, AssemblyStats of multiple species

Source: R/getSet.R
getCollectionSet.Rd

Main collection retrieval function for an organism of interest. By specifying the scientific name of an organism of interest a collection consisting of the genome file, proteome file, CDS file, RNA file, GFF file, Repeat Masker file, AssemblyStats file of the organism of interest can be downloaded and stored locally. Collections can be retrieved from several databases.

Usage

getCollectionSet(
  db = "refseq",
  organisms,
  reference = FALSE,
  release = NULL,
  skip_bacteria = TRUE,
  gunzip = TRUE,
  update = FALSE,
  remove_annotation_outliers = TRUE,
  path = "set_collections",
  mute_citation = FALSE
)

Arguments

db

a character string specifying the database from which the genome shall be retrieved:

  • db = "refseq"

  • db = "genbank"

  • db = "ensembl"

organisms

a character vector storing the names of the organisms than shall be retrieved. There are three available options to characterize an organism:

reference

a logical value indicating whether or not a genome shall be downloaded if it isn't marked in the database as either a reference genome or a representative genome.

release

a numeric, the database release version of ENSEMBL (db = "ensembl"). Default is release = NULL meaning that the most recent database version is used. release = 75 would for human would give the stable GRCh37 release in ensembl. Value must be > 46, since ensembl did not structure their data if the standard format before that.

skip_bacteria

Due to its enormous dataset size (> 700MB as of July 2023), the bacterial summary file will not be loaded by default anymore. If users wish to gain insights for the bacterial kingdom they needs to actively specify skip_bacteria = FALSE. When skip_bacteria = FALSE is set then the bacterial summary file will be downloaded.

gunzip

a logical, indicating whether or not files should be unzipped.

update

logical, default FALSE. Updated backend cached files needed. Usually keep this false, to make ut run much faster. Only set to TRUE, if you believe you cache is outdated (Species only exist in newest release etc)

remove_annotation_outliers

shall outlier lines be removed from the input annotation_file? If yes, then the initial annotation_file will be overwritten and the removed outlier lines will be stored at tempdir for further exploration.

path

a character string specifying the location (a folder) in which the corresponding collection shall be stored. Default is path = file.path("_db_downloads","collections").

mute_citation

logical, default FALSE, indicating whether citation message should be muted.

Value

File path to downloaded genomes (names are identifiers: 'new' (file was downloaded now), 'old' files did already exist)

Details

Internally this function loads the the overview.txt file from NCBI:

refseq: ftp://ftp.ncbi.nlm.nih.gov/genomes/refseq/

genbank: ftp://ftp.ncbi.nlm.nih.gov/genomes/genbank/

and creates a directory 'set_CDSs' to store the CDSs of interest as fasta files for future processing. In case the corresponding fasta file already exists within the 'set_CDSs' folder and is accessible within the workspace, no download process will be performed.

See also

Other getBioSet: getBioSet(), getCDSSet(), getGFFSet(), getGenomeSet(), getProteomeSet(), getRNASet()

Other collection: getCollection()

Author

Hajk-Georg Drost

Examples

if (FALSE) {
getBioSet("refseq", organisms = c("Arabidopsis thaliana",
                                  "Arabidopsis lyrata",
                                  "Capsella rubella"),
                                  set_type = "cds")
}