Search metadata from the Encyclopedia of DNA Elements (ENCODE).
search_encode(
assay = NULL,
accession = NULL,
file_accession = NULL,
file_type = NULL,
file_format = NULL,
output_category = NULL,
biosample_id = NULL,
biosample_type = NULL,
biosample_name = NULL,
organism = NULL,
dataset_type = NULL,
assembly = NULL,
genome_annotation = NULL,
partial_match = TRUE,
peaks_only = FALSE,
verbose = TRUE,
...
)
https://github.com/neurogenomics/EpiCompare/issues/43 Discussion on EpiCompare GitHub.
https://biodatascience.github.io/compbio/bioc/anno.html Mike Love tutorial on accessing peak data from AnnotationHub.
Search "assay" column.
Search "accession" column.
Search "file_accession" column.
Search "file_type" column.
Search "file_format" column.
Search "output_category" column.
Search "biosample_id" column.
Search "biosample_type" column.
Search "biosample_name" column.
Search "organism" column.
Search "dataset_type" column.
Search "assembly" column.
Search "genome_annotation" column.
Return case-insensitive substring matches instead of
exact matches only (default: TRUE
).
Return pre-filtered metadata for peak data aligned to the GRCh38 human genome build.
Print messages.
Additional metadata columns to filter.
meta <- search_encode(assay = "chip-seq",
biosample_name = "K562",
file_type = "peak",
assembly = "GRCh38",
organism = "Homo sapiens",
partial_match = TRUE)
#> Importing metadata via AnnotationHub.
#> snapshotDate(): 2022-05-13
#> loading from cache
#> Filtering by: assay
#> Filtering by: file_type
#> Filtering by: biosample_name
#> Filtering by: organism
#> Filtering by: assembly
#> Returning filtered metadata: 4,978 entries.