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:

2.70 score 1 stars 1 scripts 149 downloads 12 exports 70 dependencies

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

TargetResultDate
Doc / VignettesOKNov 21 2024
R-4.5-winOKNov 21 2024
R-4.5-linuxOKNov 21 2024
R-4.4-winOKNov 21 2024
R-4.4-macOKNov 21 2024
R-4.3-winOKNov 21 2024
R-4.3-macOKNov 21 2024

Exports:basepreplotCountfilitergeneticGet12BinsGetDAtablelenplotmirnapredatamiVennDatamiVennPlotpolyDESeqRpmfilitersrnapredata

Dependencies:abindaskpassBHBiobaseBiocGenericsBiocParallelclicodetoolscolorspacecpp11crayoncurlDelayedArrayDESeq2fansifarverformatRfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2ggscigluegtablehttrIRangesisobandjsonlitelabelinglambda.rlatticelifecyclelocfitmagrittrMASSMatrixMatrixGenericsmatrixStatsmgcvmimemunsellnlmeopensslpillarpkgconfigplyrR6RColorBrewerRcppRcppArmadillorlangS4ArraysS4VectorsscalessnowSparseArraySummarizedExperimentsystibbleUCSC.utilsutf8vctrsVennDiagramviridisLitewithrXVectorzlibbioc