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sarks

This is thereleased version of sarks; for the devel version, seesarks.

Suffix Array Kernel Smoothing for discovery of correlative sequence motifs and multi-motif domains

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DOI: 10.18129/B9.bioc.sarks


Bioconductor version: Release (3.22)

Suffix Array Kernel Smoothing (see https://academic.oup.com/bioinformatics/article-abstract/35/20/3944/5418797), or SArKS, identifies sequence motifs whose presence correlates with numeric scores (such as differential expression statistics) assigned to the sequences (such as gene promoters). SArKS smooths over sequence similarity, quantified by location within a suffix array based on the full set of input sequences. A second round of smoothing over spatial proximity within sequences reveals multi-motif domains. Discovered motifs can then be merged or extended based on adjacency within MMDs. False positive rates are estimated and controlled by permutation testing.

Author: Dennis Wylie [aut, cre]ORCID iD ORCID: 0000-0003-0380-3549

Maintainer: Dennis Wylie <denniscwylie at gmail.com>

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

Installation

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

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

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("sarks")
sarks-vignettePDFR Script
Reference ManualPDF
NEWSText
LICENSEText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsDifferentialExpression,FeatureExtraction,GeneExpression,GeneRegulation,MotifDiscovery,RNASeq,Software,Transcriptomics
Version1.22.0
In Bioconductor sinceBioC 3.11 (R-4.0) (5.5 years)
LicenseBSD_3_clause + fileLICENSE
DependsR (>= 4.0)
ImportsrJava,Biostrings,IRanges, utils, stats,cluster,binom
System RequirementsJava (>= 1.8)
URLhttps://academic.oup.com/bioinformatics/article-abstract/35/20/3944/5418797https://github.com/denniscwylie/sarks
Bug Reportshttps://github.com/denniscwylie/sarks/issues
See More
SuggestsRUnit,BiocGenerics,ggplot2
Linking To
Enhances
Depends On Me
Imports Me
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Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source Packagesarks_1.22.0.tar.gz
Windows Binary (x86_64) sarks_1.22.0.zip
macOS Binary (x86_64)sarks_1.22.0.tgz
macOS Binary (arm64)sarks_1.22.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/sarks
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/sarks
Bioc Package Browserhttps://code.bioconductor.org/browse/sarks/
Package Short Urlhttps://bioconductor.org/packages/sarks/
Package Downloads ReportDownload Stats

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