Package: m6Aboost 1.13.0

You Zhou

m6Aboost: m6Aboost

This package can help user to run the m6Aboost model on their own miCLIP2 data. The package includes functions to assign the read counts and get the features to run the m6Aboost model. The miCLIP2 data should be stored in a GRanges object. More details can be found in the vignette.

Authors:You Zhou [aut, cre], Kathi Zarnack [aut]

m6Aboost_1.13.0.tar.gz
m6Aboost_1.13.0.zip(r-4.5)m6Aboost_1.13.0.zip(r-4.4)m6Aboost_1.13.0.zip(r-4.3)
m6Aboost_1.13.0.tgz(r-4.4-any)m6Aboost_1.13.0.tgz(r-4.3-any)
m6Aboost_1.13.0.tar.gz(r-4.5-noble)m6Aboost_1.13.0.tar.gz(r-4.4-noble)
m6Aboost_1.13.0.tgz(r-4.4-emscripten)m6Aboost_1.13.0.tgz(r-4.3-emscripten)
m6Aboost.pdf |m6Aboost.html
m6Aboost/json (API)
NEWS

# Install 'm6Aboost' in R:
install.packages('m6Aboost', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/zarnackgroup/m6aboost/issues

On BioConductor:m6Aboost-1.13.0(bioc 3.21)m6Aboost-1.12.0(bioc 3.20)

sequencingepigeneticsgeneticsexperimenthubsoftware

4.30 score 2 stars 5 scripts 132 downloads 4 exports 160 dependencies

Last updated 2 months agofrom:123d4ec07b. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 20 2024
R-4.5-winOKNov 20 2024
R-4.5-linuxOKNov 20 2024
R-4.4-winOKNov 20 2024
R-4.4-macOKNov 20 2024
R-4.3-winOKNov 20 2024
R-4.3-macOKNov 20 2024

Exports:CtoTAssignmentm6AboostpreparingDatatruncationAssignment

Dependencies:abindadabagAnnotationDbiAnnotationHubaskpassbase64encBHBiobaseBiocFileCacheBiocGenericsBiocIOBiocManagerBiocParallelBiocVersionBiostringsbitbit64bitopsblobBSgenomebslibcachemcaretclasscliclockcodetoolscolorspaceConsRankcpp11crayoncurldata.tableDBIdbplyrDelayedArraydiagramdigestdoParalleldplyre1071evaluateExperimentHubfansifarverfastmapfilelockfontawesomeforeachformatRfsfutile.loggerfutile.optionsfuturefuture.applygenericsGenomeInfoDbGenomeInfoDbDataGenomicAlignmentsGenomicRangesggplot2globalsgluegowergtablegtoolshardhathighrhtmltoolshtmlwidgetshttripredIRangesisobanditeratorsjquerylibjsonliteKEGGRESTKernSmoothknitrlabelinglambda.rlatticelavalifecyclelistenvlubridatemagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemgcvmimeModelMetricsmunsellnlmennetnumDerivopensslparallellypillarpkgconfigplogrplyrpngpROCprodlimprogressrproxypurrrR6rappdirsRColorBrewerRcppRCurlrecipesreshape2restfulrrglRhtslibrjsonrlangrlistrmarkdownrpartRsamtoolsRSQLitertracklayerS4ArraysS4VectorssassscalesshapesnowSparseArraySQUAREMstringistringrSummarizedExperimentsurvivalsystibbletidyrtidyselecttimechangetimeDatetinytextzdbUCSC.utilsutf8vctrsviridisLitewithrxfunXMLXVectoryamlzlibbioc

Predicting m6A sites from miCLIP2 data with m6Aboost

Rendered fromm6AboosVignettes.Rmdusingknitr::rmarkdownon Nov 20 2024.

Last update: 2021-06-03
Started: 2021-05-27