gene_summary | R Documentation |
wrapper function to find all info about a list of genes
gene_summary( genes, verbose = TRUE, get_gene_types = TRUE, get_gene_description = TRUE, get_associated_diseases = TRUE, get_publications = FALSE, gene_types_df = NULL, ncbi_retmax = 50, disease_cutoff = 0, disease_source = "curated", disease_api_token = NULL, diseases = c("C20", "C05", "C10", "C17"), publication_keywords = c("Rheumatoid", "Autoimmune"), publication_split = "OR" )
genes |
List of gene names |
verbose |
Whether to split out the progress |
get_gene_types |
Highlight interesting genes? |
get_gene_description |
Whether to find a summary of the gene info |
get_associated_diseases |
Whether to find the associated diseases |
get_publications |
Do you want publication info? (This is time consuming if you have a lot of genes) |
gene_types_df |
A data frame of annotation types with columns for: the annotation name, the contains a character vector for grep command and general info about the gene. If NULL system.file("extdata","immune_genes.txt", package = "omicAnnotations") |
ncbi_retmax |
The number of NCBI hits to try. If you are struggling to find info try increasing this, although it will become slower (default=50). |
disease_cutoff |
The DisGeNET Score cutoff |
disease_source |
The source of the GDA (see https://www.disgenet.org/dbinfo) |
disease_api_token |
The authentication token by DisGenNet (Sign up here: https://www.disgenet.org/signup/). Then run get_api_key(email, password). |
diseases |
The MeSH disease classes to use ("C20"=Immune System Diseases) |
publication_keywords |
Words to search for publications with the genes |
publication_split |
Whether to use AND or OR when searching the publication keywords (default is OR) |
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