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segmentSeq

This is thereleased version of segmentSeq; for the devel version, seesegmentSeq.

Methods for identifying small RNA loci from high-throughput sequencing data

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DOI: 10.18129/B9.bioc.segmentSeq


Bioconductor version: Release (3.22)

High-throughput sequencing technologies allow the production of large volumes of short sequences, which can be aligned to the genome to create a set of matches to the genome. By looking for regions of the genome which to which there are high densities of matches, we can infer a segmentation of the genome into regions of biological significance. The methods in this package allow the simultaneous segmentation of data from multiple samples, taking into account replicate data, in order to create a consensus segmentation. This has obvious applications in a number of classes of sequencing experiments, particularly in the discovery of small RNA loci and novel mRNA transcriptome discovery.

Author: Thomas J. Hardcastle [aut], Samuel Granjeaud [cre]ORCID iD ORCID: 0000-0001-9245-1535

Maintainer: Samuel Granjeaud <samuel.granjeaud at inserm.fr>

Citation (from within R, entercitation("segmentSeq")):

Installation

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

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

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

Documentation

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

browseVignettes("segmentSeq")
segmentSeq: small RNA locus detectionHTMLR Script
segmentsSeq: Methylation locus identificationHTMLR Script
Reference ManualPDF

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsAlignment,DataImport,DifferentialExpression,MultipleComparison,QualityControl,Sequencing,Software
Version2.44.0
In Bioconductor sinceBioC 2.6 (R-2.11) (15.5 years)
LicenseGPL-3
DependsR (>= 3.5.0), methods,baySeq(>= 2.9.0),S4Vectors, parallel,GenomicRanges,ShortRead, stats
ImportsRsamtools,IRanges,Seqinfo, graphics, grDevices, utils,abind
System Requirements
URLhttps://github.com/samgg/segmentSeq
Bug Reportshttps://github.com/samgg/segmentSeq/issues
See More
SuggestsBiocStyle,BiocGenerics,knitr,rmarkdown
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Depends On Me
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Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackagesegmentSeq_2.44.0.tar.gz
Windows Binary (x86_64) segmentSeq_2.44.0.zip
macOS Binary (x86_64)segmentSeq_2.44.0.tgz
macOS Binary (arm64)segmentSeq_2.44.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/segmentSeq
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/segmentSeq
Bioc Package Browserhttps://code.bioconductor.org/browse/segmentSeq/
Package Short Urlhttps://bioconductor.org/packages/segmentSeq/
Package Downloads ReportDownload Stats

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