SimBindProfiles, identifies common and unique binding regions in genome tiling array data. This package does not rely on peak calling, but directly compares binding profiles processed on the same array platform. It implements a simple threshold approach, thus allowing retrieving commonly and differentially bound regions between datasets as well as events of compensation and increased binding.
● Data Source:
BioConductor
● Keywords: package
● Alias: SimBindProfiles, SimBindProfiles-package
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This function is used to classify three Binding Profiles into regions which are bound in data set one and two but not three.
● Data Source:
BioConductor
● Keywords:
● Alias: compensationRegions
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Create a smooth scatterplot with correlation
● Data Source:
BioConductor
● Keywords:
● Alias: eSetScatterPlot
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Define the bound.cutoff using either the normalNull or the twoGaussiansNull method.
● Data Source:
BioConductor
● Keywords:
● Alias: findBoundCutoff
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This function is used to classify two Binding Profiles into regions which are more bound in one data set than the other.
● Data Source:
BioConductor
● Keywords:
● Alias: increasedBindingRegions
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Classify two Binding Profiles into unique and common binding regions and write results to bed files.
● Data Source:
BioConductor
● Keywords:
● Alias: pairwiseRegions
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Scatterplot of bound probes in colour based on the method.
● Data Source:
BioConductor
● Keywords:
● Alias: plotBoundProbes
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Build a probeAnno from ExpressionSet.
● Data Source:
BioConductor
● Keywords:
● Alias: probeAnnoFromESet
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Plot the probe length frequency.
● Data Source:
BioConductor
● Keywords:
● Alias: probeLengthPlot
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Function to read sgr files into a list object, quantile normalise signal.
● Data Source:
BioConductor
● Keywords:
● Alias: readSgrFiles
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