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sarks

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

Bioconductor version: 3.23 · Package version: 1.24.0

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.

Installation

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

BiocManager::install("sarks")

Details

MaintainerDennis Wylie <denniscwylie@gmail.com>
AuthorDennis Wylie [aut, cre] (ORCID: <https://orcid.org/0000-0003-0380-3549>)
LicenseBSD_3_clause + file LICENSE
URLhttps://academic.oup.com/bioinformatics/article-abstract/35/20/3944/5418797, https://github.com/denniscwylie/sarks
Bug Reportshttps://github.com/denniscwylie/sarks/issues
System RequirementsJava (>= 1.8)
Downloads rank250
Source branchRELEASE_3_23
biocViewsDifferentialExpression, FeatureExtraction, GeneExpression, GeneRegulation, MotifDiscovery, RNASeq, Software, Transcriptomics

Documentation

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Dependencies

Depends: R (>= 4.0)

Imports: rJava, Biostrings, IRanges, utils, stats, cluster, binom

Suggests: RUnit, BiocGenerics, ggplot2