Package: segmentSeq
Type: Package
Title: Methods for identifying small RNA loci from high-throughput
        sequencing data
Version: 2.22.0
Date: 2016-12-07
Author: Thomas J. Hardcastle
Maintainer: Thomas J. Hardcastle <tjh48@cam.ac.uk>
Description: 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.
License: GPL-3
LazyLoad: yes
Depends: R (>= 3.0.0), methods, baySeq (>= 2.9.0), S4Vectors, parallel,
        GenomicRanges, ShortRead, stats
Suggests: BiocStyle, BiocGenerics
Imports: Rsamtools, IRanges, GenomeInfoDb, graphics, grDevices, utils,
        abind
biocViews: MultipleComparison, Sequencing, Alignment,
        DifferentialExpression, QualityControl, DataImport
git_url: https://git.bioconductor.org/packages/segmentSeq
git_branch: RELEASE_3_11
git_last_commit: 4bb4854
git_last_commit_date: 2020-04-27
Date/Publication: 2020-04-27
NeedsCompilation: no
Packaged: 2020-04-28 02:47:36 UTC; biocbuild
Built: R 4.0.0; ; 2020-04-28 16:37:07 UTC; windows
