aggregateTagClusters: Aggregating tag clusters across multiple CAGE datasets

In ge11232002/CAGEr: Analysis of CAGE (Cap Analysis of Gene Expression) sequencing data for precise mapping of transcription start sites and promoterome mining

Description

Aggregates tag clusters (TCs) across all CAGE dataset within the CAGEset object to create a referent set of consensus clusters.

Usage

aggregateTagClusters(object, tpmThreshold = 5, 
					 excludeSignalBelowThreshold = TRUE, 
					 qLow = NULL, qUp = NULL, maxDist = 100)

Arguments

object	A CAGEset object
tpmThreshold	Only tag clusteres with normalized signal >= tpmThreshold will be used to construct consensus clusters.
excludeSignalBelowThreshold	When TRUE only tag clusteres with normalized signal >= tpmThreshold will contribute to the total CAGE signal of a consensus cluster, i.e. only the TCs that are used to construct consensus cluster. When set to FALSE all TCs that overlap consensus cluster will contribute to the total signal (regardless whether they pass the threshold or not), however only the TCs above the threshold will be used to define consensus cluster boundaries. Thus, it that case the TCs above the threshold are first used to construct consensus clusters and define their boundaries, but then CAGE signal from all TCs that fall within those boundaries is used to calculate total signal of a particular consensus cluster.
qLow	Position of which "lower" quantile should be used as 5' boundary of the tag cluster. If qLow = NULL start position of the TC is used. See Details.
qUp	Position of which "upper" quantile should be used as 3' boundary of the tag cluster. If qUp = NULL end position of the TC is used. qUp has to be >= qLow. See Details.
maxDist	Maximal length of the gap (in base-pairs) between two tag clusters for them to be part of the same consensus clusters. See Details.

Details

Tag clusters (TCs) returned by clusterCTSS function are constructed for every CAGE dataset within CAGEset object separatelly, based on the CAGE signal in that sample. Thus, TCs from two CAGE datasets can differ both in their number, genomic coordinates, position of dominant TSS and overall signal. To be able to compare all samples at the level of clusters of TSSs, TCs from all CAGE datasets are aggregated into a single set of consensus clusters. First, TCs with signal >= tpmThreshold from all CAGE datasets are selected, and their 5' and 3' boundaries are determined based on provided qLow and qUp parameters. If qLow = NULL and qUp = NULL the start and end coordinates, i.e. the full span of the TC is used, otherwise the positions of qLow and qUp quantiles are used as 5' and 3' boundary, respectively. Finally, the defined set of TCs from all CAGE datasets is reduced to a non-overlapping set of consensus clusters by merging overlapping TCs and TCs <= maxDist base-pairs apart. Consensus clusters represent a referent set of promoters that can be further used for expression profiling or detecting "shifting" (differentially used) promoters between different CAGE samples.

Value

The slots consensusClusters, tagClustersInConsensusClusters and consensusClustersTpmMatrix of the provided CAGEset object will be occupied by the genomic coordinates of consensus clusters, information on containing TCs and the total CAGE signal across all CAGE datasets, respectively.

Author(s)

Vanja Haberle

See Also

clusterCTSS

Examples

load(system.file("data", "exampleCAGEset.RData", package="CAGEr"))

aggregateTagClusters(object = exampleCAGEset, tpmThreshold = 50,
excludeSignalBelowThreshold = FALSE, qLow = 0.1, qUp = 0.9, maxDist = 100)

ge11232002/CAGEr documentation built on May 17, 2019, 12:13 a.m.