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Showing content from https://www.bioconductor.org/packages/release/bioc/html/../../bioc/html/NADfinder.html below:

Bioconductor - NADfinder

NADfinder

This is the released version of NADfinder; for the devel version, see NADfinder.

Call wide peaks for sequencing data

Bioconductor version: Release (3.21)

Nucleolus is an important structure inside the nucleus in eukaryotic cells. It is the site for transcribing rDNA into rRNA and for assembling ribosomes, aka ribosome biogenesis. In addition, nucleoli are dynamic hubs through which numerous proteins shuttle and contact specific non-rDNA genomic loci. Deep sequencing analyses of DNA associated with isolated nucleoli (NAD- seq) have shown that specific loci, termed nucleolus- associated domains (NADs) form frequent three- dimensional associations with nucleoli. NAD-seq has been used to study the biological functions of NAD and the dynamics of NAD distribution during embryonic stem cell (ESC) differentiation. Here, we developed a Bioconductor package NADfinder for bioinformatic analysis of the NAD-seq data, including baseline correction, smoothing, normalization, peak calling, and annotation.

Author: Jianhong Ou, Haibo Liu, Jun Yu, Hervé Pagès, Paul Kaufman, Lihua Julie Zhu

Maintainer: Jianhong Ou <jou at morgridge.org>, Lihua Julie Zhu <julie.zhu at umassmed.edu>

Citation (from within R, enter citation("NADfinder")): Installation

To install this package, start R (version "4.5") and enter:


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

BiocManager::install("NADfinder")

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("NADfinder")
Details biocViews DNASeq, GeneRegulation, PeakDetection, Sequencing, Software Version 1.32.0 In Bioconductor since BioC 3.5 (R-3.4) (8 years) License GPL (>= 2) Depends R (>= 3.5.0), BiocGenerics, IRanges, GenomicRanges, S4Vectors, SummarizedExperiment Imports graphics, methods, baseline, signal, GenomicAlignments, GenomeInfoDb, rtracklayer, limma, trackViewer, stats, utils, Rsamtools, metap, EmpiricalBrownsMethod, ATACseqQC, corrplot, csaw System Requirements URL See More Package Archives

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


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