View source: R/readMembershipMatrix.R
readMembershipMatrix | R Documentation |
RMM describes association of each exon with meta-features (introns, skipping junctions and flanking junctions) of that gene. It can be generated using a gtf file and a combined junction matrix generated via getJunctionCountMatrix
. RMM is a pre-requisite matrix for running EPrnaseq
.
readMembershipMatrix(gtf, JunctionMatrix = JunctionMatrix)
gtf |
gtf file of the organism. |
JunctionMatrix |
junction matrix contains read counts of each junction mapped by tophat2 alongwith their annotation. |
readMembershipMatrix creates a gene-wise list which is saved by default as RMM.Rdata. Each gene is represented by a matrix of meta-features times the number of exons in gene.
A number is assigned for each meta-feature association to exons in the gene as:
0 : No association
0.5: Skipping junction to the exon
1 : Exon with itself
2 : Flanking junction to the exon
3 : Intron associated with the exon
F. Hoffgaard, P. Weil, K. Hamacher. BioPhysConnectoR: Connecting Sequence Information and Biophysical Models. BMC Bioinformatics volume 11, Article number: 199 (2010).
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