Package: HicAggR 1.3.0

Olivier Cuvier

HicAggR: Set of 3D genomic interaction analysis tools

This package provides a set of functions useful in the analysis of 3D genomic interactions. It includes the import of standard HiC data formats into R and HiC normalisation procedures. The main objective of this package is to improve the visualization and quantification of the analysis of HiC contacts through aggregation. The package allows to import 1D genomics data, such as peaks from ATACSeq, ChIPSeq, to create potential couples between features of interest under user-defined parameters such as distance between pairs of features of interest. It allows then the extraction of contact values from the HiC data for these couples and to perform Aggregated Peak Analysis (APA) for visualization, but also to compare normalized contact values between conditions. Overall the package allows to integrate 1D genomics data with 3D genomics data, providing an easy access to HiC contact values.

Authors:Robel Tesfaye [aut, ctb], David Depierre [aut], Naomi Schickele [ctb], Nicolas Chanard [aut], Refka Askri [ctb], Stéphane Schaak [aut, ctb], Pascal Martin [ctb], Olivier Cuvier [cre, ctb]

HicAggR_1.3.0.tar.gz
HicAggR_1.3.0.zip(r-4.5)HicAggR_1.3.0.zip(r-4.4)HicAggR_1.3.0.zip(r-4.3)
HicAggR_1.3.0.tgz(r-4.4-any)HicAggR_1.3.0.tgz(r-4.3-any)
HicAggR_1.3.0.tar.gz(r-4.5-noble)HicAggR_1.3.0.tar.gz(r-4.4-noble)
HicAggR_1.3.0.tgz(r-4.4-emscripten)HicAggR_1.3.0.tgz(r-4.3-emscripten)
HicAggR.pdf |HicAggR.html
HicAggR/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/cuvierlab/hicaggr/issues

Datasets:

On BioConductor:HicAggR-1.1.2(bioc 3.20)HicAggR-1.0.2(bioc 3.19)

softwarehicdataimportdatarepresentationnormalizationvisualizationdna3dstructureatacseqchipseqdnaseseqrnaseq

4.90 score 3 scripts 159 downloads 33 exports 93 dependencies

Last updated 23 days agofrom:1905b6c66a. Checks:OK: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 30 2024
R-4.5-winWARNINGOct 30 2024
R-4.5-linuxWARNINGOct 30 2024
R-4.4-winWARNINGOct 31 2024
R-4.4-macWARNINGOct 31 2024
R-4.3-winWARNINGOct 30 2024
R-4.3-macWARNINGOct 31 2024

Exports:AggregationBalanceHiCBinGRangesCompareToBackgroundCutHiCExtractSubmatrixFilterInteractionsGenomicSystemGetInfoGetQuantifggAPAHueICEnormImportHiCImportLoopsIndexFeaturesJoinHiCMergeGRangesOrientateMatrixOverExpectedHiCPlotAPAplotMultiAPAPrepareMtxListpreparePlotgardenerQtlThresholdSearchPairsSeqEndsStrToGRangesSwitchMatrixVCnormviridisYlGnBuYlOrRd

Dependencies:abindaskpassbackportsBHBiobaseBiocGenericsBiocIOBiocParallelBiostringsbitopscheckmateclicodetoolscolorspacecpp11crayoncurldata.tableDelayedArraydplyrfansifarverformatRfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicAlignmentsGenomicRangesggplot2gluegridExtragtablehttrInteractionSetIRangesisobandjsonlitelabelinglambda.rlatticelifecyclemagrittrMASSMatrixMatrixGenericsmatrixStatsmgcvmimemunsellnlmeopensslpillarpkgconfigplyrpurrrR6RColorBrewerRcppRCurlreshaperestfulrrhdf5rhdf5filtersRhdf5libRhtslibrjsonrlangRsamtoolsrtracklayerS4ArraysS4VectorsscalessnowSparseArraystrawrstringistringrSummarizedExperimentsystibbletidyrtidyselectUCSC.utilsutf8vctrsviridisLitewithrXMLXVectoryamlzlibbioc

HicAggR - In depth tutorial

Rendered fromHicAggR.Rmdusingknitr::rmarkdownon Oct 30 2024.

Last update: 2024-04-26
Started: 2022-12-09