Package: REDseq 1.53.0
REDseq: Analysis of high-throughput sequencing data processed by restriction enzyme digestion
The package includes functions to build restriction enzyme cut site (RECS) map, distribute mapped sequences on the map with five different approaches, find enriched/depleted RECSs for a sample, and identify differentially enriched/depleted RECSs between samples.
Authors:
REDseq_1.53.0.tar.gz
REDseq_1.53.0.zip(r-4.5)REDseq_1.53.0.zip(r-4.4)REDseq_1.53.0.zip(r-4.3)
REDseq_1.53.0.tgz(r-4.4-any)REDseq_1.53.0.tgz(r-4.3-any)
REDseq_1.53.0.tar.gz(r-4.5-noble)REDseq_1.53.0.tar.gz(r-4.4-noble)
REDseq_1.53.0.tgz(r-4.4-emscripten)REDseq_1.53.0.tgz(r-4.3-emscripten)
REDseq.pdf |REDseq.html✨
REDseq/json (API)
# Install 'REDseq' in R: |
install.packages('REDseq', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
- example.REDseq - An example sequencing dataset from a restoration enzyme digestion (RED) experiment
- example.assignedREDseq - An example assigned REDseq dataset
- example.map - An example REmap dataset
On BioConductor:REDseq-1.53.0(bioc 3.21)REDseq-1.52.0(bioc 3.20)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
sequencingsequencematchingpreprocessing
Last updated 2 months agofrom:c53b524b48. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 30 2024 |
R-4.5-win | NOTE | Nov 30 2024 |
R-4.5-linux | NOTE | Nov 30 2024 |
R-4.4-win | NOTE | Nov 30 2024 |
R-4.4-mac | NOTE | Nov 30 2024 |
R-4.3-win | NOTE | Nov 30 2024 |
R-4.3-mac | NOTE | Nov 30 2024 |
Exports:assignSeq2REsitebinom.test.REDseqbuildREmapcompareREDseqdistanceHistSeq2REplotCutDistributionsummarizeByREsummarizeBySeq
Dependencies:abindAnnotationDbiAnnotationFilteraskpassBHBiobaseBiocFileCacheBiocGenericsBiocIOBiocParallelbiomaRtBiostringsbitbit64bitopsblobBSgenomeBSgenome.Celegans.UCSC.ce2cachemChIPpeakAnnoclicodetoolscolorspacecpp11crayoncurldata.tableDBIdbplyrDelayedArraydigestdplyrensembldbfansifarverfastmapfilelockformatRfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicAlignmentsGenomicFeaturesGenomicRangesggplot2gluegraphgtablehmshttrhttr2InteractionSetIRangesisobandjsonliteKEGGRESTlabelinglambda.rlatticelazyevallifecyclemagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemgcvmimemulttestmunsellnlmeopensslpillarpkgconfigplogrpngprettyunitsprogressProtGenericspurrrpwalignR6rappdirsRBGLRColorBrewerRcppRcppThreadRCurlregioneRrestfulrRhtslibrjsonrlangRsamtoolsRSQLitertracklayerS4ArraysS4VectorsscalessnowSparseArraystringistringrSummarizedExperimentsurvivalsystibbletidyrtidyselectUCSC.utilsuniversalmotifutf8vctrsVennDiagramviridisLitewithrXMLxml2XVectoryamlzlibbioc
Readme and manuals
Help Manual
Help page | Topics |
---|---|
REDseq | REDseq-package REDseq |
Assign mapped sequence tags to corresponding restriction enzyme (RE) cut sites | assignSeq2REsite |
Binomial test for REDseq dataset | binom.test.REDseq |
Build a genome wide cut site map for a Restriction Enzyme (RE) | buildREmap |
Compare two RED Sequencing Dataset | compareREDseq |
Plot the distance distribution from sequence to the associated RE sites | distanceHistSeq2RE |
an example assigned REDseq dataset | example.assignedREDseq |
an example REmap dataset | example.map |
an example sequencing dataset from a restoration enzyme digestion (RED) experiment | example.REDseq |
plot cut frequencies of RE sites along a given chromosome | plotCutDistribution |
Output count/weight summary by restriction enzyme cut site ID (REid) | summarizeByRE |
Output count/weight summary by sequences | summarizeBySeq |