This package is for version 3.13 of Bioconductor; for the stable, up-to-date release version, see UMI4Cats.
Bioconductor version: 3.13
UMI-4C is a technique that allows characterization of 3D chromatin interactions with a bait of interest, taking advantage of a sonication step to produce unique molecular identifiers (UMIs) that help remove duplication bias, thus allowing a better differential comparsion of chromatin interactions between conditions. This package allows processing of UMI-4C data, starting from FastQ files provided by the sequencing facility. It provides two statistical methods for detecting differential contacts and includes a visualization function to plot integrated information from a UMI-4C assay.
Author: Mireia Ramos-Rodriguez [aut, cre] , Marc Subirana-Granes [aut], Lorenzo Pasquali [aut]
Maintainer: Mireia Ramos-Rodriguez <mireiarr9 at gmail.com>
Citation (from within R,
enter citation("UMI4Cats")
):
To install this package, start R (version "4.1") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("UMI4Cats")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("UMI4Cats")
HTML | R Script | Analyzing UMI-4C data with UMI4Cats |
Reference Manual | ||
Text | NEWS |
biocViews | Alignment, Coverage, Normalization, Preprocessing, QualityControl, Sequencing, Software, Visualization |
Version | 1.2.1 |
In Bioconductor since | BioC 3.12 (R-4.0) (1 year) |
License | Artistic-2.0 |
Depends | R (>= 4.0.0), SummarizedExperiment |
Imports | magick, cowplot, scales, GenomicRanges, ShortRead, zoo, ggplot2, reshape2, regioneR, IRanges, S4Vectors, magrittr, dplyr, BSgenome, Biostrings, DESeq2, R.utils, Rsamtools, stringr, Rbowtie2, methods, GenomeInfoDb, GenomicAlignments, RColorBrewer, utils, grDevices, stats, org.Hs.eg.db, annotate, TxDb.Hsapiens.UCSC.hg19.knownGene, rlang, GenomicFeatures, BiocFileCache, rappdirs, fda, BiocGenerics |
LinkingTo | |
Suggests | knitr, rmarkdown, BiocStyle, BSgenome.Hsapiens.UCSC.hg19, tidyr, testthat |
SystemRequirements | |
Enhances | |
URL | https://github.com/Pasquali-lab/UMI4Cats |
BugReports | https://github.com/Pasquali-lab/UMI4Cats/issues |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | UMI4Cats_1.2.1.tar.gz |
Windows Binary | UMI4Cats_1.2.1.zip (32- & 64-bit) |
macOS 10.13 (High Sierra) | UMI4Cats_1.2.1.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/UMI4Cats |
Source Repository (Developer Access) | git clone [email protected]:packages/UMI4Cats |
Package Short Url | https://bioconductor.org/packages/UMI4Cats/ |
Package Downloads Report | Download Stats |
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