NOTT2019_bigwig_metadata: Metadata and links to data
In RajLabMSSM/echoannot: echoverse module: Annotate fine-mapping results
NOTT2019_bigwig_metadata R Documentation
Metadata and links to data
Description
Metadata for cell type-specific epigenomic bigWig files hosted
on UCSC Genome Browser.
bigWig files contain the genomic ranges from each epigenomic assay,
as well as a Score column which describes the peaks of the aggregate reads.
Usage
data("NOTT2019_bigwig_metadata")
Format
An object of class data.table (inherits from data.frame) with 18 rows and 14 columns.
Source
https://doi.org/10.1126/science.aay0793
NOTT2019_bigwig_metadata <- data.table::data.table(
readxl::read_excel(
file.path(
"~/Desktop/Fine_Mapping/echolocatoR/annotations",
"NOTT2019/NOTT2019_snEpigenomics.xlsx"
)
)
)
usethis::use_data(NOTT2019_bigwig_metadata, overwrite = TRUE)
See Also
Other NOTT2019:
NOTT2019_epigenomic_histograms(),
NOTT2019_get_epigenomic_peaks(),
NOTT2019_get_interactions(),
NOTT2019_get_interactome(),
NOTT2019_get_promoter_celltypes(),
NOTT2019_get_promoter_interactome_data(),
NOTT2019_get_regulatory_regions(),
NOTT2019_plac_seq_plot(),
NOTT2019_superenhancers(),
get_NOTT2019_interactome(),
get_NOTT2019_superenhancer_interactome()
RajLabMSSM/echoannot documentation built on Oct. 26, 2023, 2:41 p.m.
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| NOTT2019_bigwig_metadata | R Documentation |
Metadata and links to data
Description
Metadata for cell type-specific epigenomic bigWig files hosted on UCSC Genome Browser. bigWig files contain the genomic ranges from each epigenomic assay, as well as a Score column which describes the peaks of the aggregate reads.
Usage
data("NOTT2019_bigwig_metadata")
Format
An object of class data.table (inherits from data.frame) with 18 rows and 14 columns.
Source
https://doi.org/10.1126/science.aay0793
NOTT2019_bigwig_metadata <- data.table::data.table(
readxl::read_excel(
file.path(
"~/Desktop/Fine_Mapping/echolocatoR/annotations",
"NOTT2019/NOTT2019_snEpigenomics.xlsx"
)
)
)
usethis::use_data(NOTT2019_bigwig_metadata, overwrite = TRUE)
See Also
Other NOTT2019:
NOTT2019_epigenomic_histograms(),
NOTT2019_get_epigenomic_peaks(),
NOTT2019_get_interactions(),
NOTT2019_get_interactome(),
NOTT2019_get_promoter_celltypes(),
NOTT2019_get_promoter_interactome_data(),
NOTT2019_get_regulatory_regions(),
NOTT2019_plac_seq_plot(),
NOTT2019_superenhancers(),
get_NOTT2019_interactome(),
get_NOTT2019_superenhancer_interactome()
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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