Search BED files by text — bb_bed_text

Return all available BED files ranked by relevance to the keywords. Uses the bedhost API default of 10 records and an initial offset of 0.

bb_bed_text_search(bedbase, query, limit = 10, offset = 0)

Arguments

bedbase: BEDbase() object
query: character() keywords to search
limit: integer(1) (default 10) maximum number of results
offset: integer(1) (default 0) page offset of results

Value

tibble of results

Examples

bedbase <- BEDbase()
#> 125977 BED files available.
bb_bed_text_search(bedbase, "hg38")
#> # A tibble: 10 × 48
#>    id                   payload.species_name payload.species_id payload.genotype
#>    <chr>                <chr>                <chr>              <chr>           
#>  1 7d3acf8e-1da7-e70c-… Homo sapiens         9606               ""              
#>  2 ce44f456-2428-e08e-… Homo sapiens         9606               ""              
#>  3 86439e4f-5ed4-ad3c-… Homo sapiens         9606               ""              
#>  4 fd8732dd-5310-f056-… Homo sapiens         9606               ""              
#>  5 7ca19e8d-a89b-fc23-… Homo sapiens         9606               ""              
#>  6 53174b51-10e5-3421-… Homo sapiens         9606               ""              
#>  7 b31fed80-4814-50dd-… Homo sapiens         9606               ""              
#>  8 c220b90d-362c-0d2a-… Homo sapiens         9606               ""              
#>  9 8350ab5e-48c6-ab00-… Homo sapiens         9606               ""              
#> 10 4d18dd3a-9eca-26d8-… Homo sapiens         9606               ""              
#> # ℹ 44 more variables: payload.phenotype <chr>, payload.description <chr>,
#> #   payload.cell_type <chr>, payload.cell_line <chr>, payload.tissue <chr>,
#> #   payload.library_source <chr>, payload.assay <chr>, payload.antibody <chr>,
#> #   payload.target <chr>, payload.treatment <chr>,
#> #   payload.global_sample_id <chr>, payload.global_experiment_id <chr>,
#> #   payload.original_file_name <chr>, score <chr>, metadata.name <chr>,
#> #   metadata.genome_alias <chr>, metadata.genome_digest <chr>, …