Description Usage Arguments Details Value Examples
After running the prepare_ENCODEDb
function, this function will allow
you to extract a subset of data encording to the following criteria :
accession, assay name, biosample, dataset accession, file accession,
file format, laboratory, donor organism, target and treatment.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | queryEncode(
df = get_encode_df(),
set_accession = NULL,
assay = NULL,
biosample_name = NULL,
dataset_accession = NULL,
file_accession = NULL,
file_format = NULL,
lab = NULL,
organism = NULL,
target = NULL,
treatment = NULL,
project = NULL,
biosample_type = NULL,
file_status = "released",
status = "released",
fixed = TRUE,
quiet = FALSE,
fuzzy = FALSE
)
|
df |
|
set_accession |
character string to select the accession |
assay |
character string to select the assay type |
biosample_name |
character string to select the biosample name |
dataset_accession |
character string to select the dataset accession |
file_accession |
character string to select the file accesion |
file_format |
character string to select the file format |
lab |
character string to select the laboratory |
organism |
character string to select the donor organism |
target |
character string to select the experimental target |
treatment |
character string to select the treatment |
project |
character string to select the project |
biosample_type |
character string to select the biosample type |
file_status |
character string to select the file status ("released", "revoked", "all"). Default "released" |
status |
character string to select the dataset/experiment status |
fixed |
logical. If TRUE, pattern is a string to be matched as it is. |
quiet |
logical enables to switch off the result summary information when setting at TRUE. |
fuzzy |
Search for substring or alternate hyphenations. Default: TRUE |
By default, the query can be made on an exact match term. This behaviour can
be modified by setting the fixed
argument at TRUE
a data.frame
s containing data about ENCODE
experiments and datasets
1 2 | queryEncode(df = get_encode_df_demo(), biosample_name = "A549",
file_format = "bam")
|
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