Package: dStruct 1.11.0

Krishna Choudhary

dStruct: Identifying differentially reactive regions from RNA structurome profiling data

dStruct identifies differentially reactive regions from RNA structurome profiling data. dStruct is compatible with a broad range of structurome profiling technologies, e.g., SHAPE-MaP, DMS-MaPseq, Structure-Seq, SHAPE-Seq, etc. See Choudhary et al., Genome Biology, 2019 for the underlying method.

Authors:Krishna Choudhary [aut, cre], Sharon Aviran [aut]

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NEWS

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

Peer review:

Bug tracker:https://github.com/datamaster-kris/dstruct/issues

Datasets:
  • lai2019 - _Saccharomyces cerevisiae_ Structure-seq data
  • wan2014 - _Homo sapiens_ PARS data

On BioConductor:dStruct-1.11.0(bioc 3.20)dStruct-1.10.0(bioc 3.19)

bioconductor-package

11 exports 0.61 score 38 dependencies 3 mentions

Last updated 2 months agofrom:d23992a029

Exports:calcDisdCombsdStructdStructGuideddStructomegetCombsgetContigRegionsgetRegionsnormalizerplotDStructurometwoEightNormalize

Dependencies:BiocGenericsclicolorspacefansifarverggplot2gluegtableIRangesisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrpurrrR6RColorBrewerRcppreshape2rlangS4Vectorsscalesstringistringrtibbleutf8vctrsviridisLitewithrzoo

Differential RNA structurome analysis using dStruct

Krishna Choudhary, Sharon Aviran

Rendered fromdStruct.Rmdusingknitr::rmarkdownon Jun 30 2024.

Last update: 2021-05-23
Started: 2021-02-18