View source: R/DataPreprocessingDev.R
processingChIP | R Documentation |
processingChIP
will process and extract ChIP scores at a set of loci of interest.
processingChIP(profile,loci=NULL,reduce=NULL,
peaks=NULL,chromatinState=NULL,parameterOptions=NULL,
cores=1)
profile |
|
loci |
|
reduce |
|
parameterOptions |
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peaks |
|
chromatinState |
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cores |
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When using computeOptimal
, it is required to supply real ChIP
data in order to have a point of comparison. The corralation and MSE Scores are
computed based of how well the model fits biological data.
processingChIP
will extract this data from ChIP data at loci
of interest. When using the reduce
option, this function will only
select the top regions based on peak height or mean ChIP score.
processingChIP
will also extract maxSignal and backgroundSignal from
ChIP data and parse it to an parameterOptions
object.
Returns a ChIPScore object containing extracted (and normalised) ChIP scores, the loci of interest and newly extracted Parameters(e.g. maxSignal)
Patrick C.N. Martin <pcnmartin@gmail.com>
Zabet NR, Adryan B (2015) Estimating binding properties of transcription factors from genome-wide binding profiles. Nucleic Acids Res., 43, 84–94. Patrick C.N. Martin and Nicolae Radu Zabe (2020) Dissecting the binding mechanisms of transcription factors to DNA using a statistical thermodynamics framework. CSBJ, 18, 3590-3605.
#Data extraction
data(ChIPanalyserData)
## Extracting ChIP scores at loci of interest
ChIP<-processingChIP(profile=chip, loci=top)
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