make.predVSexp.track: Make track of predicted VS experimental coverage
In EmmaDann/hexamerModel: Tools for modelling random hexamer primer binding
Description
Usage
Arguments
Value
View source: R/compare_peaks.r
Description
Merges, smoothens and normalizes coverage tracks for experimental and predicted coverage, adding IDs for each sampled region
(region length has to be specified)
Usage
1
make.predVSexp.track(predicted.bw, experimental.bw, reg.length = 3000)
Arguments
predicted.bw
GRanges object of predicted coverage track
experimental.bw
GRanges object of experimental coverage track
reg.length
length of sampled regions
Value
GRangesList object where each element is a sampled region
EmmaDann/hexamerModel documentation built on May 5, 2019, 4:48 p.m.
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Description Usage Arguments Value
View source: R/compare_peaks.r
Description
Merges, smoothens and normalizes coverage tracks for experimental and predicted coverage, adding IDs for each sampled region (region length has to be specified)
Usage
1 | make.predVSexp.track(predicted.bw, experimental.bw, reg.length = 3000)
|
Arguments
predicted.bw |
GRanges object of predicted coverage track |
experimental.bw |
GRanges object of experimental coverage track |
reg.length |
length of sampled regions |
Value
GRangesList object where each element is a sampled region
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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