Package: countToFPKM 1.2.0

countToFPKM: Convert Counts to Fragments per Kilobase of Transcript per Million (FPKM)

Implements the algorithm described in Trapnell,C. et al. (2010) <doi:10.1038/nbt.1621>. This function takes read counts matrix of RNA-Seq data, feature lengths which can be retrieved using 'biomaRt' package, and the mean fragment lengths which can be calculated using the 'CollectInsertSizeMetrics(Picard)' tool. It then returns a matrix of FPKM normalised data by library size and feature effective length. It also provides the user with a quick and reliable function to generate FPKM heatmap plot of the highly variable features in RNA-Seq dataset.

Authors:Ahmed Alhendi

countToFPKM_1.2.0.tar.gz
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countToFPKM_1.2.0.tgz(r-4.5-any)countToFPKM_1.2.0.tgz(r-4.4-any)countToFPKM_1.2.0.tgz(r-4.3-any)
countToFPKM_1.2.0.tar.gz(r-4.5-noble)countToFPKM_1.2.0.tar.gz(r-4.4-noble)
countToFPKM_1.2.0.tgz(r-4.4-emscripten)countToFPKM_1.2.0.tgz(r-4.3-emscripten)
countToFPKM.pdf |countToFPKM.html
countToFPKM/json (API)

# Install 'countToFPKM' in R:
install.packages('countToFPKM', repos = c('https://aalhendi1707.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/aalhendi1707/counttofpkm/issues

On CRAN:

Conda:

gene-expressionnormalizationrna-seq

5.09 score 62 stars 20 scripts 202 downloads 2 mentions 2 exports 22 dependencies

Last updated 4 years agofrom:674bbeb3d0. Checks:1 OK, 8 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 25 2025
R-4.5-winNOTEMar 25 2025
R-4.5-macNOTEMar 25 2025
R-4.5-linuxNOTEMar 25 2025
R-4.4-winNOTEMar 25 2025
R-4.4-macNOTEMar 25 2025
R-4.4-linuxNOTEMar 25 2025
R-4.3-winNOTEMar 25 2025
R-4.3-macNOTEMar 25 2025

Exports:fpkmfpkmheatmap

Dependencies:BiocGenericscirclizeclueclustercodetoolscolorspaceComplexHeatmapcrayondigestdoParallelforeachgenericsGetoptLongGlobalOptionsIRangesiteratorsmatrixStatspngRColorBrewerrjsonS4Vectorsshape