fpkm_calc {ORFik} | R Documentation

## Create normalizations of read counts

### Description

A helper for [fpkm()] Normally use function [fpkm()], if you want unusual normalization , you can use this. Short for: Fragments per kilobase of transcript per million fragments Normally used in Translations efficiency calculations

### Usage

    fpkm_calc(counts, lengthSize, librarySize)

### Arguments

`counts` | a list, # of read hits per group
`lengthSize` | a list of lengths per group
`librarySize` | a numeric of size 1, the # of reads in library

### Value

a numeric vector

### References

doi: 10.1038/nbt.1621

### See Also

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

[Package ORFik version 1.6.9 Index]