fpkm {ORFik} | R Documentation

## Create normalizations of overlapping read counts.

### Description

FPKM is short for "Fragments Per Kilobase of transcript per Million fragments in library". When calculating RiboSeq data FPKM over ORFs, use ORFs as 'grl'. When calculating RNASeq data FPKM, use full transcripts as 'grl'. It is equal to RPKM given that you do not have paired end reads.

### Usage

    fpkm(grl, reads, pseudoCount = 0, librarySize = "full", weight = 1L)

### Arguments

`grl` | a `GRangesList` object can be either transcripts, 5' utrs, cds', 3' utrs or ORFs as a special case (uORFs, potential new cds' etc). If regions are not spliced you can send a `GRanges` object.
`reads` | a `GAlignments`, `GRanges` or `GRangesList` object, usually of RiboSeq, RnaSeq, CageSeq, etc.
`pseudoCount` | an integer, by default is 0, set it to 1 if you want to avoid NA and inf values.
`librarySize` | either numeric value or character vector. Default ("full"), number of alignments in library (reads). If you just have a subset, you can give the value by librarySize = length(wholeLib), if you want lib size to be only number of reads overlapping grl, do: librarySize = "overlapping" sum(countOverlaps(reads, grl) > 0), if reads[1] has 3 hits in grl, and reads[2] has 2 hits, librarySize will be 2, not 5. You can also get the inverse overlap, if you want lib size to be total number of overlaps, do: librarySize = "DESeq" This is standard fpkm way of DESeq2::fpkm(robust = FALSE) sum(countOverlaps(grl, reads)) if grl[1] has 3 reads and grl[2] has 2 reads, librarySize is 5, not 2.
`weight` | a vector (default: 1L, if 1L it is identical to countOverlaps()), if single number (!= 1), it applies for all, if more than one must be equal size of 'reads'. else it must be the string name of a defined meta column in subject "reads", that gives number of times a read was found. GRanges("chr1", 1, "+", score = 5), would mean "score" column tells that this alignment region was found 5 times.

### Details

Note also that you must consider if you will use the whole read library or just the reads overlapping 'grl' for library size. A normal question here is, does it make sense to include rRNA in library size ? If you only want overlapping grl, do: librarySize = "overlapping"

### Value

a numeric vector with the fpkm values

### References

doi: 10.1038/nbt.1621

### See Also

Other features: `computeFeaturesCage()`, `computeFeatures()`, `countOverlapsW()`, `disengagementScore()`, `distToCds()`, `distToTSS()`, `entropy()`, `floss()`, `fpkm_calc()`, `fractionLength()`, `initiationScore()`, `insideOutsideORF()`, `isInFrame()`, `isOverlapping()`, `kozakSequenceScore()`, `orfScore()`, `rankOrder()`, `ribosomeReleaseScore()`, `ribosomeStallingScore()`, `startRegionCoverage()`, `startRegion()`, `stopRegion()`, `subsetCoverage()`, `translationalEff()`

### Examples

    ORF <- GRanges(seqnames = "1",
                   ranges = IRanges(start = c(1, 10, 20),
                   end = c(5, 15, 25)),
                   strand = "+")
    grl <- GRangesList(tx1_1 = ORF)
    RFP <- GRanges("1", IRanges(25, 25),"+")
    fpkm(grl, RFP)

    # With weights (10 reads at position 25)
    RFP <- GRanges("1", IRanges(25, 25),"+", score = 10)
    fpkm(grl, RFP, weight = "score")

[Package ORFik version 1.14.7 Index]