STRING cross-references proteins with several annotation resources. This function retrieves the complete set of annotations assigned to the input proteins, together with information about each term.
Usage
rba_string_annotations(
ids,
species = NULL,
allow_pubmed = FALSE,
split_df = TRUE,
only_pubmed = FALSE,
...
)Arguments
- ids
Your protein ID(s). It is strongly recommended to supply STRING IDs. See
rba_string_map_idsfor more information.- species
Numeric: NCBI Taxonomy identifier; Human Taxonomy ID is 9606. (Recommended, but optional.)
- allow_pubmed
Logical (default =
FALSE): Include PubMed annotations. These annotations are excluded by default because many publications may be assigned to each protein. This argument is ignored whenonly_pubmed = TRUE.- split_df
Logical: (default =
TRUE) Split results into a list of data frames bycategory; otherwise, return one data frame.- only_pubmed
Logical (default =
FALSE): Return only PubMed annotations. This takes precedence overallow_pubmed.- ...
rbioapi option(s). See
rba_options's arguments manual for more information on available options.
Value
A data frame in which every row is an assigned term and the columns
contain the term category, description, number of genes, and other
pertinent information. If split_df = TRUE, a list of data frames
split by category is returned. With only_pubmed = TRUE, a
one-element list named PMID is returned when PubMed annotations are
available.
Details
STRING currently retrieves annotations based on Gene Ontology (GO), UniProt
Keywords, PubMed publications, Pfam domains, InterPro domains, and SMART
domains. KEGG annotations are unavailable from this endpoint because of
KEGG licensing restrictions.
This function returns annotations without enrichment filtering. To
perform enrichment and retrieve only enriched terms, use
rba_string_enrichment.
Corresponding API Resources
"POST https://string-db.org/api/{output-format}/functional_annotation? identifiers={your_identifiers}&{optional_parameters}"
References
Damian Szklarczyk, Rebecca Kirsch, Mikaela Koutrouli, Katerina Nastou, Farrokh Mehryary, Radja Hachilif, Annika L Gable, Tao Fang, Nadezhda T Doncheva, Sampo Pyysalo, Peer Bork, Lars J Jensen, Christian von Mering, The STRING database in 2023: protein–protein association networks and functional enrichment analyses for any sequenced genome of interest, Nucleic Acids Research, Volume 51, Issue D1, 6 January 2023, Pages D638–D646, https://doi.org/10.1093/nar/gkac1000
See also
rba_string_map_ids,
rba_string_enrichment,
rba_string_enrichment_image,
rba_string_functional_terms
Other "STRING":
rba_string_enrichment(),
rba_string_enrichment_image(),
rba_string_enrichment_ppi(),
rba_string_functional_terms(),
rba_string_homology_inter(),
rba_string_homology_intra(),
rba_string_interaction_partners(),
rba_string_interactions_network(),
rba_string_map_ids(),
rba_string_network_image(),
rba_string_version()