Package: eisaR 1.17.0

Michael Stadler

eisaR: Exon-Intron Split Analysis (EISA) in R

Exon-intron split analysis (EISA) uses ordinary RNA-seq data to measure changes in mature RNA and pre-mRNA reads across different experimental conditions to quantify transcriptional and post-transcriptional regulation of gene expression. For details see Gaidatzis et al., Nat Biotechnol 2015. doi: 10.1038/nbt.3269. eisaR implements the major steps of EISA in R.

Authors:Michael Stadler [aut, cre], Dimos Gaidatzis [aut], Lukas Burger [aut], Charlotte Soneson [aut]

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Bug tracker:https://github.com/fmicompbio/eisar/issues

On BioConductor:eisaR-1.17.0(bioc 3.20)eisaR-1.16.0(bioc 3.19)

bioconductor-package

6 exports 1.08 score 33 dependencies 1 mentions

Last updated 2 months agofrom:550297fc1c

Exports:exportToGtfgetFeatureRangesgetRegionsFromTxDbgetTx2GeneplotEISArunEISA

Dependencies:abindaskpassBiobaseBiocGenericscrayoncurlDelayedArrayedgeRGenomeInfoDbGenomeInfoDbDataGenomicRangeshttrIRangesjsonlitelatticelimmalocfitMatrixMatrixGenericsmatrixStatsmimeopensslR6RcppS4ArraysS4VectorsSparseArraystatmodSummarizedExperimentsysUCSC.utilsXVectorzlibbioc