Package: sRNAGenetic 0.1.0

sRNAGenetic: Analysis of sRNA Expression Changes During Plant Polyploidization

The most important function of the R package sRNAGenetic is the genetic effects analysis of miRNA after plant polyploidization via two methods, and at the same time, it provides various forms of graph related to data characteristics and expression analysis. In terms of two classification methods, one is the calculation of the additive (a) and dominant (d), the other is the evaluation of ELD (expression level domainance) by comparing the total expression of the miRNA in allotetraploids with the expression level in the parent species.

Authors:Yu qing Wu [aut, cre]

sRNAGenetic_0.1.0.tar.gz
sRNAGenetic_0.1.0.zip(r-4.5)sRNAGenetic_0.1.0.zip(r-4.4)sRNAGenetic_0.1.0.zip(r-4.3)
sRNAGenetic_0.1.0.tgz(r-4.4-any)sRNAGenetic_0.1.0.tgz(r-4.3-any)
sRNAGenetic_0.1.0.tar.gz(r-4.5-noble)sRNAGenetic_0.1.0.tar.gz(r-4.4-noble)
sRNAGenetic_0.1.0.tgz(r-4.4-emscripten)sRNAGenetic_0.1.0.tgz(r-4.3-emscripten)
sRNAGenetic.pdf |sRNAGenetic.html
sRNAGenetic/json (API)

# Install 'sRNAGenetic' in R:
install.packages('sRNAGenetic', repos = c('https://w123yu.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/w123yu/srnagenetic/issues

Datasets:

On CRAN:

12 exports 1 stars 0.73 score 69 dependencies 1 scripts 179 downloads

Last updated 3 years agofrom:69197f2bc4. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 23 2024
R-4.5-winOKAug 23 2024
R-4.5-linuxOKAug 23 2024
R-4.4-winOKAug 23 2024
R-4.4-macOKAug 23 2024
R-4.3-winOKAug 23 2024
R-4.3-macOKAug 23 2024

Exports:basepreplotCountfilitergeneticGet12BinsGetDAtablelenplotmirnapredatamiVennDatamiVennPlotpolyDESeqRpmfilitersrnapredata

Dependencies:abindaskpassBHBiobaseBiocGenericsBiocParallelclicodetoolscolorspacecpp11crayoncurlDelayedArrayDESeq2fansifarverformatRfutile.loggerfutile.optionsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2ggscigluegtablehttrIRangesisobandjsonlitelabelinglambda.rlatticelifecyclelocfitmagrittrMASSMatrixMatrixGenericsmatrixStatsmgcvmimemunsellnlmeopensslpillarpkgconfigplyrR6RColorBrewerRcppRcppArmadillorlangS4ArraysS4VectorsscalessnowSparseArraySummarizedExperimentsystibbleUCSC.utilsutf8vctrsVennDiagramviridisLitewithrXVectorzlibbioc