downloadProblems: downloadProblems
In tdhock/PeakSegPipeline: Genome-Wide Peak Prediction Using Supervised Learning and Optimal Segmentation
Description
Usage
Arguments
Author(s)
Description
Create problems.bed based on data from UCSC.
Usage
1
2
downloadProblems(genome,
problems.bed, url.prefix = ucsc.goldenPath.url)
Arguments
genome
UCSC ID e.g. hg19 or hg38.
problems.bed
file to save.
url.prefix
http://path.to/goldenPath/
Author(s)
Toby Dylan Hocking
tdhock/PeakSegPipeline documentation built on March 3, 2020, 1:35 a.m.
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Description Usage Arguments Author(s)
Description
Create problems.bed based on data from UCSC.
Usage
1 2 | downloadProblems(genome,
problems.bed, url.prefix = ucsc.goldenPath.url)
|
Arguments
genome |
UCSC ID e.g. hg19 or hg38. |
problems.bed |
file to save. |
url.prefix |
http://path.to/goldenPath/ |
Author(s)
Toby Dylan Hocking
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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