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

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.

Getting started

Package details

AuthorDennis Wylie [aut, cre] (<https://orcid.org/0000-0003-0380-3549>)
Bioconductor views DifferentialExpression FeatureExtraction GeneExpression GeneRegulation MotifDiscovery RNASeq Transcriptomics
MaintainerDennis Wylie <denniscwylie@gmail.com>
LicenseBSD_3_clause + file LICENSE
Version1.2.0
URL https://academic.oup.com/bioinformatics/article-abstract/35/20/3944/5418797 https://github.com/denniscwylie/sarks
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("sarks")

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sarks documentation built on Nov. 8, 2020, 6:54 p.m.