Create gene background — create_background (original) (raw)

Create a gene background as the union/intersect of all orthologs between input species (species1 and species2), and the output_species. This can be useful when generating random lists of background genes to test against in analyses with data from multiple species (e.g. enrichment of mouse cell-type markers gene sets in human GWAS-derived gene sets).

create_background(
  species1,
  species2,
  output_species = "human",
  as_output_species = TRUE,
  use_intersect = TRUE,
  bg = NULL,
  gene_map = NULL,
  method = "homologene",
  non121_strategy = "drop_both_species",
  verbose = TRUE
)

Arguments

species1

First species.

species2

Second species.

output_species

Species to convert all genes fromspecies1 and species2 to first.Default="human", but can be to either any species supported by orthogene, includingspecies1 or species2.

as_output_species

Return background gene list asoutput_species orthologs, instead of the gene names of the original input species.

use_intersect

When species1 and species2 are both different from output_species, this argument will determine whether to use the intersect (TRUE) or union (FALSE) of all genes from species1 and species2.

bg

User supplied background list that will be returned to the user after removing duplicate genes.

gene_map

User-supplied gene_map data table frommap_orthologs or map_genes.

method

R package to use for gene mapping:

• "gprofiler" : Slower but more species and genes.
• "homologene" : Faster but fewer species and genes.
• "babelgene" : Faster but fewer species and genes. Also gives consensus scores for each gene mapping based on a several different data sources.

non121_strategy

How to handle genes that don't have 1:1 mappings between input_species:output_species. Options include:

• "drop_both_species" or "dbs" or 1 :
  Drop genes that have duplicate mappings in either the input_species or output_species
  (DEFAULT).
• "drop_input_species" or "dis" or 2 :
  Only drop genes that have duplicate mappings in the input_species.
• "drop_output_species" or "dos" or 3 :
  Only drop genes that have duplicate mappings in the output_species.
• "keep_both_species" or "kbs" or 4 :
  Keep all genes regardless of whether they have duplicate mappings in either species.
• "keep_popular" or "kp" or 5 :
  Return only the most "popular" interspecies ortholog mappings. This procedure tends to yield a greater number of returned genes but at the cost of many of them not being true biological 1:1 orthologs.
• "sum","mean","median","min" or "max" :
  When gene_df is a matrix and gene_output="rownames", these options will aggregate many-to-one gene mappings (input_species-to-output_species) after dropping any duplicate genes in the output_species.

verbose

Print messages.

Value

Background gene list.

Examples

bg <- orthogene::create_background(species1 = "mouse", 
                                   species2 = "rat",
                                   output_species = "human")
#> Generating gene background for mouse x rat ==> human
#> Gathering ortholog reports.
#> Retrieving all genes using: homologene.
#> Retrieving all organisms available in homologene.
#> Mapping species name: human
#> Common name mapping found for human
#> 1 organism identified from search: 9606
#> Gene table with 19,129 rows retrieved.
#> Returning all 19,129 genes from human.
#> Retrieving all genes using: homologene.
#> Retrieving all organisms available in homologene.
#> Mapping species name: mouse
#> Common name mapping found for mouse
#> 1 organism identified from search: 10090
#> Gene table with 21,207 rows retrieved.
#> Returning all 21,207 genes from mouse.
#> --
#> --
#> Preparing gene_df.
#> data.frame format detected.
#> Extracting genes from Gene.Symbol.
#> 21,207 genes extracted.
#> Converting mouse ==> human orthologs using: homologene
#> Retrieving all organisms available in homologene.
#> Mapping species name: mouse
#> Common name mapping found for mouse
#> 1 organism identified from search: 10090
#> Retrieving all organisms available in homologene.
#> Mapping species name: human
#> Common name mapping found for human
#> 1 organism identified from search: 9606
#> Checking for genes without orthologs in human.
#> Extracting genes from input_gene.
#> 17,355 genes extracted.
#> Extracting genes from ortholog_gene.
#> 17,355 genes extracted.
#> Checking for genes without 1:1 orthologs.
#> Dropping 131 genes that have multiple input_gene per ortholog_gene (many:1).
#> Dropping 498 genes that have multiple ortholog_gene per input_gene (1:many).
#> Filtering gene_df with gene_map
#> Adding input_gene col to gene_df.
#> Adding ortholog_gene col to gene_df.
#> 
#> =========== REPORT SUMMARY ===========
#> Total genes dropped after convert_orthologs :
#>    4,725 / 21,207 (22%)
#> Total genes remaining after convert_orthologs :
#>    16,482 / 21,207 (78%)
#> --
#> 
#> =========== REPORT SUMMARY ===========
#> 16,482 / 21,207 (77.72%) target_species genes remain after ortholog conversion.
#> 16,482 / 19,129 (86.16%) reference_species genes remain after ortholog conversion.
#> Gathering ortholog reports.
#> Retrieving all genes using: homologene.
#> Retrieving all organisms available in homologene.
#> Mapping species name: human
#> Common name mapping found for human
#> 1 organism identified from search: 9606
#> Gene table with 19,129 rows retrieved.
#> Returning all 19,129 genes from human.
#> Retrieving all genes using: homologene.
#> Retrieving all organisms available in homologene.
#> Mapping species name: rat
#> Common name mapping found for rat
#> 1 organism identified from search: 10116
#> Gene table with 20,616 rows retrieved.
#> Returning all 20,616 genes from rat.
#> --
#> --
#> Preparing gene_df.
#> data.frame format detected.
#> Extracting genes from Gene.Symbol.
#> 20,616 genes extracted.
#> Converting rat ==> human orthologs using: homologene
#> Retrieving all organisms available in homologene.
#> Mapping species name: rat
#> Common name mapping found for rat
#> 1 organism identified from search: 10116
#> Retrieving all organisms available in homologene.
#> Mapping species name: human
#> Common name mapping found for human
#> 1 organism identified from search: 9606
#> Checking for genes without orthologs in human.
#> Extracting genes from input_gene.
#> 16,989 genes extracted.
#> Extracting genes from ortholog_gene.
#> 16,989 genes extracted.
#> Checking for genes without 1:1 orthologs.
#> Dropping 122 genes that have multiple input_gene per ortholog_gene (many:1).
#> Dropping 607 genes that have multiple ortholog_gene per input_gene (1:many).
#> Filtering gene_df with gene_map
#> Adding input_gene col to gene_df.
#> Adding ortholog_gene col to gene_df.
#> 
#> =========== REPORT SUMMARY ===========
#> Total genes dropped after convert_orthologs :
#>    4,813 / 20,616 (23%)
#> Total genes remaining after convert_orthologs :
#>    15,803 / 20,616 (77%)
#> --
#> 
#> =========== REPORT SUMMARY ===========
#> 15,803 / 20,616 (76.65%) target_species genes remain after ortholog conversion.
#> 15,803 / 19,129 (82.61%) reference_species genes remain after ortholog conversion.
#> 15,450 intersect background genes used.