Package: MIRA 1.29.0
MIRA: Methylation-Based Inference of Regulatory Activity
DNA methylation contains information about the regulatory state of the cell. MIRA aggregates genome-scale DNA methylation data into a DNA methylation profile for a given region set with shared biological annotation. Using this profile, MIRA infers and scores the collective regulatory activity for the region set. MIRA facilitates regulatory analysis in situations where classical regulatory assays would be difficult and allows public sources of region sets to be leveraged for novel insight into the regulatory state of DNA methylation datasets.
Authors:
MIRA_1.29.0.tar.gz
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MIRA.pdf |MIRA.html✨
MIRA/json (API)
NEWS
# Install 'MIRA' in R: |
install.packages('MIRA', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/databio/mira/issues
- bigBinDT1 - DNA methylation data for the "Applying MIRA to a Biological Question" vignette (1st part).
- bigBinDT2 - DNA methylation data for the "Applying MIRA to a Biological Question" vignette (2nd part).
- exampleAnnoDT1 - A data.table with annotation for a bisulfite sample.
- exampleAnnoDT2 - Annotation data for the "Applying MIRA to a Biological Question" vignette.
- exampleBSDT - A data.table containing DNA methylation data.
- exampleBSseqObj - A small BSseq object.
- exampleBins - A data.table with artificial binned methylation data
- exampleRegionSet - A Granges object with Nrf1-binding regions.
On BioConductor:MIRA-1.27.0(bioc 3.20)MIRA-1.26.0(bioc 3.19)
immunooncologydnamethylationgeneregulationgenomeannotationsystemsbiologyfunctionalgenomicschipseqmethylseqsequencingepigeneticscoverage
Last updated 21 days agofrom:699390ad86. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 30 2024 |
R-4.5-win | OK | Oct 31 2024 |
R-4.5-linux | OK | Oct 30 2024 |
R-4.4-win | OK | Oct 31 2024 |
R-4.4-mac | OK | Oct 31 2024 |
R-4.3-win | OK | Oct 31 2024 |
R-4.3-mac | OK | Oct 31 2024 |
Exports:addMethPropColaggregateMethylbinRegionBSBinAggregateBSreadBiSeqbsseqToDataTablecalcMIRAScoreplotMIRAProfilesplotMIRAScoresrbindNamedListSummarizedExperimentToDataTable
Dependencies:abindaskpassassortheadbeachmatBHBiobaseBiocGenericsBiocIOBiocParallelBiostringsbitopsBSgenomebsseqclicodetoolscolorspacecpp11crayoncurldata.tableDelayedArrayDelayedMatrixStatsfansifarverformatRfutile.loggerfutile.optionsGenomeInfoDbGenomeInfoDbDataGenomicAlignmentsGenomicRangesggplot2gluegtablegtoolsHDF5ArrayhttrIRangesisobandjsonlitelabelinglambda.rlatticelifecyclelimmalocfitmagrittrMASSMatrixMatrixGenericsmatrixStatsmgcvmimemunsellnlmeopensslpermutepillarpkgconfigR.methodsS3R.ooR.utilsR6RColorBrewerRcppRCurlrestfulrrhdf5rhdf5filtersRhdf5libRhtslibrjsonrlangRsamtoolsrtracklayerS4ArraysS4VectorsscalessnowSparseArraysparseMatrixStatsstatmodSummarizedExperimentsystibbleUCSC.utilsutf8vctrsviridisLitewithrXMLXVectoryamlzlibbioc
Applying MIRA to a Biological Question
Rendered fromBiologicalApplication.Rmd
usingknitr::rmarkdown
on Oct 30 2024.Last update: 2017-10-28
Started: 2017-04-25
Getting Started with Methylation-based Inference of Regulatory Activity
Rendered fromGettingStarted.Rmd
usingknitr::rmarkdown
on Oct 30 2024.Last update: 2019-10-24
Started: 2017-04-25