Infers which species the genes within gene_df
is from.
Iteratively test the percentage of gene_df
genes that match with
the genes from each test_species
.
Data object containing the genes
(see gene_input
for options on how
the genes can be stored within the object).
Can be one of the following formats:
matrix
:
A sparse or dense matrix.
data.frame
:
A data.frame
,
data.table
. or tibble
.
codelist :
A list
or character vector
.
Genes, transcripts, proteins, SNPs, or genomic ranges
can be provided in any format
(HGNC, Ensembl, RefSeq, UniProt, etc.) and will be
automatically converted to gene symbols unless
specified otherwise with the ...
arguments.
Note: If you set method="homologene"
, you
must either supply genes in gene symbol format (e.g. "Sox2")
OR set standardise_genes=TRUE
.
Which aspect of gene_df
to
get gene names from:
"rownames"
:
From row names of data.frame/matrix.
"colnames"
:
From column names of data.frame/matrix.
<column name>
:
From a column in gene_df
,
e.g. "gene_names"
.
Which species to test for matches with.
If set to NULL
, will default to a list of humans and
5 common model organisms.
If test_species
is set to one of the following options,
it will automatically pull all species from that respective package and
test against each of them:
"homologene" : 20+ species (default)
"gprofiler" : 700+ species
"babelgene" : 19 species
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.
Make a plot of the results.
Print the plot of the results.
Print messages.
An ordered dataframe of test_species
from best to worst matches.
data("exp_mouse")
matches <- orthogene::infer_species(gene_df = exp_mouse[1:200,])
#> Preparing gene_df.
#> sparseMatrix format detected.
#> Extracting genes from rownames.
#> 200 genes extracted.
#> Testing for gene overlap with: human
#> 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.
#> Testing for gene overlap with: monkey
#> Retrieving all genes using: homologene.
#> Retrieving all organisms available in homologene.
#> Mapping species name: monkey
#> Common name mapping found for monkey
#> 1 organism identified from search: 9544
#> Gene table with 16,843 rows retrieved.
#> Returning all 16,843 genes from monkey.
#> Testing for gene overlap with: rat
#> 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.
#> Testing for gene overlap with: mouse
#> 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.
#> Testing for gene overlap with: zebrafish
#> Retrieving all genes using: homologene.
#> Retrieving all organisms available in homologene.
#> Mapping species name: zebrafish
#> Common name mapping found for zebrafish
#> 1 organism identified from search: 7955
#> Gene table with 20,897 rows retrieved.
#> Returning all 20,897 genes from zebrafish.
#> Testing for gene overlap with: fly
#> Retrieving all genes using: homologene.
#> Retrieving all organisms available in homologene.
#> Mapping species name: fly
#> Common name mapping found for fly
#> 1 organism identified from search: 7227
#> Gene table with 8,438 rows retrieved.
#> Returning all 8,438 genes from fly.
#> Top match:
#> - species: mouse
#> - percent_match: 96%