segmentSeq (original) (raw)

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

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

Bioconductor version: Release (3.20)

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]

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

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

Installation

To install this package, start R (version "4.4") and enter:

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

BiocManager::install("segmentSeq")

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("segmentSeq")

Details

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