Package: soGGi 1.39.0

Tom Carroll

soGGi: Visualise ChIP-seq, MNase-seq and motif occurrence as aggregate plots Summarised Over Grouped Genomic Intervals

The soGGi package provides a toolset to create genomic interval aggregate/summary plots of signal or motif occurence from BAM and bigWig files as well as PWM, rlelist, GRanges and GAlignments Bioconductor objects. soGGi allows for normalisation, transformation and arithmetic operation on and between summary plot objects as well as grouping and subsetting of plots by GRanges objects and user supplied metadata. Plots are created using the GGplot2 libary to allow user defined manipulation of the returned plot object. Coupled together, soGGi features a broad set of methods to visualise genomics data in the context of groups of genomic intervals such as genes, superenhancers and transcription factor binding events.

Authors:Gopuraja Dharmalingam, Doug Barrows, Tom Carroll

soGGi_1.39.0.tar.gz
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soGGi.pdf |soGGi.html
soGGi/json (API)
NEWS

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

Peer review:

Datasets:

On BioConductor:soGGi-1.39.0(bioc 3.21)soGGi-1.38.0(bioc 3.20)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

sequencingchipseqcoverage

4.49 score 1 packages 51 scripts 497 downloads 1 mentions 16 exports 90 dependencies

Last updated 23 days agofrom:192a9696a3. Checks:ERROR: 2 NOTE: 2 WARNING: 3. Indexed: yes.

TargetResultDate
Doc / VignettesFAILOct 31 2024
R-4.5-winWARNINGOct 31 2024
R-4.5-linuxERROROct 31 2024
R-4.4-winWARNINGOct 31 2024
R-4.4-macNOTEOct 31 2024
R-4.3-winWARNINGOct 31 2024
R-4.3-macNOTEOct 31 2024

Exports:cbindfindconsensusRegionsgroupByOverlapsmakeMotifScoreRlemeannormalisenormalise.ChIPprofilenormaliseQuantilesnormaliseQuantiles.ChIPprofileOpsorientByplotRegionpwmToCoveragerbindregionPlotsummitPipeline

Dependencies:abindaskpassBHBiobaseBiocGenericsBiocIOBiocParallelBiostringsbitopschipseqclicodetoolscolorspacecpp11crayoncurlDelayedArraydeldirfansifarverformatRfutile.loggerfutile.optionsGenomeInfoDbGenomeInfoDbDataGenomicAlignmentsGenomicRangesggplot2gluegtablehttrhwriterinterpIRangesisobandjpegjsonlitelabelinglambda.rlatticelatticeExtralifecyclemagrittrMASSMatrixMatrixGenericsmatrixStatsmgcvmimemunsellnlmeopensslpillarpkgconfigplyrpngpreprocessCorepwalignR6RColorBrewerRcppRcppEigenRCurlreshape2restfulrRhtslibrjsonrlangRsamtoolsrtracklayerS4ArraysS4VectorsscalesShortReadsnowSparseArraystringistringrSummarizedExperimentsystibbleUCSC.utilsutf8vctrsviridisLitewithrXMLXVectoryamlzlibbioc

soggi

Rendered fromsoggi.Rnwusingknitr::knitron Oct 31 2024.

Last update: 2015-05-12
Started: 2015-04-06

Readme and manuals

Help Manual

Help pageTopics
Join, subset and manipulate ChIPprofile objects$,ChIPprofile-method c,ChIPprofile-method cbind,ChIPprofile-method rbind,ChIPprofile-method [[,ChIPprofile,ANY,missing-method
Example ChIPprofileschipExampleBig
The soggi function and ChIPprofile object.ChIPprofile ChIPprofile-ChIPprofile ChIPprofile-class regionPlot soggi
Plot coverage of points or regions.findconsensusRegions summitPipeline
Create GRangeslist from all combinations of GRangesgroupByOverlaps
Example Ikaros peaksetsik_Example
Example Ikaros signal over peaksetsik_Profiles
Normalise ChIPprofilesnormalise normalise,ChIPprofile,character,numeric-method normalise,ChIPprofile-method normalise.ChIPprofile
Normalise quantilenormaliseQuantiles normaliseQuantiles,ChIPprofile-method normaliseQuantiles.ChIPprofile
Arithmetic operationslog,ChIPprofile-method log2,ChIPprofile-method mean,ChIPprofile-method Ops,ChIPprofile,ChIPprofile-method Ops,ChIPprofile,numeric-method Ops,numeric,ChIPprofile-method
Set strand by overlapping or nearest anchor GRangesorientBy
Plot regionsplotRegion plotRegion,ChIPprofile-method plotRegion.ChIPprofile
Example motif coveragepwmCov
PWM hits and motif scores as an RLElistmakeMotifScoreRle pwmToCoverage
A single GRangesingleGRange