spatzie

This package is for version 3.18 of Bioconductor; for the stable, up-to-date release version, see spatzie.

Identification of enriched motif pairs from chromatin interaction data


Bioconductor version: 3.18

Identifies motifs that are significantly co-enriched from enhancer-promoter interaction data. While enhancer-promoter annotation is commonly used to define groups of interaction anchors, spatzie also supports co-enrichment analysis between preprocessed interaction anchors. Supports BEDPE interaction data derived from genome-wide assays such as HiC, ChIA-PET, and HiChIP. Can also be used to look for differentially enriched motif pairs between two interaction experiments.

Author: Jennifer Hammelman [aut, cre, cph] , Konstantin Krismer [aut] , David Gifford [ths, cph]

Maintainer: Jennifer Hammelman <jhammelm at mit.edu>

Citation (from within R, enter citation("spatzie")):

Installation

To install this package, start R (version "4.3") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("spatzie")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("spatzie")
YY1 ChIA-PET motif analysis (single call) HTML
YY1 ChIA-PET motif analysis (step-by-step) HTML
Reference Manual PDF
NEWS Text

Details

biocViews Classification, DNA3DStructure, Epigenetics, FunctionalGenomics, GeneRegulation, HiC, PeakDetection, Software, Transcription
Version 1.8.0
In Bioconductor since BioC 3.14 (R-4.1) (2.5 years)
License GPL-3
Depends R (>= 4.3)
Imports BiocGenerics, BSgenome, GenomeInfoDb, GenomicFeatures, GenomicInteractions, GenomicRanges, ggplot2, IRanges, MatrixGenerics, matrixStats, motifmatchr, S4Vectors, stats, SummarizedExperiment, TFBSTools, utils
System Requirements
URL https://spatzie.mit.edu
See More
Suggests BiocManager, Biostrings, knitr, pheatmap, rmarkdown, testthat, TxDb.Hsapiens.UCSC.hg19.knownGene, TxDb.Hsapiens.UCSC.hg38.knownGene, TxDb.Mmusculus.UCSC.mm10.knownGene, TxDb.Mmusculus.UCSC.mm9.knownGene
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package spatzie_1.8.0.tar.gz
Windows Binary spatzie_1.8.0.zip
macOS Binary (x86_64) spatzie_1.8.0.tgz
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/spatzie
Source Repository (Developer Access) git clone [email protected]:packages/spatzie
Bioc Package Browser https://code.bioconductor.org/browse/spatzie/
Package Short Url https://bioconductor.org/packages/spatzie/
Package Downloads Report Download Stats