 
  
 
   
   This package is for version 3.15 of Bioconductor; for the stable, up-to-date release version, see UMI4Cats.
Bioconductor version: 3.15
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]
, 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 "4.2") and enter:
if (!require("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 | 1.6.0 | 
| In Bioconductor since | BioC 3.12 (R-4.0) (2 years) | 
| 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_1.6.0.tar.gz | 
| Windows Binary | UMI4Cats_1.6.0.zip | 
| macOS Binary (x86_64) | UMI4Cats_1.6.0.tgz | 
| Source Repository | git clone https://git.bioconductor.org/packages/UMI4Cats | 
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/UMI4Cats | 
| Package Short Url | https://bioconductor.org/packages/UMI4Cats/ | 
| Package Downloads Report | Download Stats | 
 
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