virtual4C: Computing virtual 4C profiles
In js2264/cooleR: Analysing cool files in R with HiContacts
virtual4C R Documentation
Computing virtual 4C profiles
Description
From a (m)cool pre-imported in memory, computes a 4C profile
using a user-specified viewpoint.
Usage
virtual4C(x, viewpoint, use.scores = "balanced")
Arguments
x
a HiCExperiment object
viewpoint
viewpoint, defined as a GRanges
use.scores
use.scores
Value
A tibble with the contact frequency of the viewpoint, per bin
along the imported genomic range.
Examples
library(HiContacts)
contacts_yeast <- contacts_yeast()
v4C <- virtual4C(contacts_yeast, GenomicRanges::GRanges('II:490001-510000'))
v4C
js2264/cooleR documentation built on Jan. 29, 2024, 10:47 p.m.
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| virtual4C | R Documentation |
Computing virtual 4C profiles
Description
From a (m)cool pre-imported in memory, computes a 4C profile
using a user-specified viewpoint.
Usage
virtual4C(x, viewpoint, use.scores = "balanced")
Arguments
x |
a |
viewpoint |
viewpoint, defined as a GRanges |
use.scores |
use.scores |
Value
A tibble with the contact frequency of the viewpoint, per bin along the imported genomic range.
Examples
library(HiContacts)
contacts_yeast <- contacts_yeast()
v4C <- virtual4C(contacts_yeast, GenomicRanges::GRanges('II:490001-510000'))
v4C
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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