Package: sarks Title: Suffix Array Kernel Smoothing for discovery of correlative sequence motifs and multi-motif domains Version: 1.25.0 Authors@R: person(given = "Dennis", family = "Wylie", role = c("aut", "cre"), email = "denniscwylie@gmail.com", comment = c(ORCID = "0000-0003-0380-3549")) Description: 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. Depends: R (>= 4.0) Imports: rJava, Biostrings, IRanges, utils, stats, cluster, binom Suggests: RUnit, BiocGenerics, ggplot2 biocViews: MotifDiscovery, GeneRegulation, GeneExpression, Transcriptomics, RNASeq, DifferentialExpression, FeatureExtraction SystemRequirements: Java (>= 1.8) License: BSD_3_clause + file LICENSE Encoding: UTF-8 LazyData: false RoxygenNote: 6.1.1 BugReports: https://github.com/denniscwylie/sarks/issues URL: https://academic.oup.com/bioinformatics/article-abstract/35/20/3944/5418797, https://github.com/denniscwylie/sarks Config/pak/sysreqs: make default-jdk zlib1g-dev Repository: https://bioc.r-universe.dev Date/Publication: 2026-04-28 12:52:02 UTC RemoteUrl: https://github.com/bioc/sarks RemoteRef: HEAD RemoteSha: 14425d46040248f81ae07b9c8bf8f61286cb18ac NeedsCompilation: no Packaged: 2026-07-03 18:36:17 UTC; root Author: Dennis Wylie [aut, cre] (ORCID: ) Maintainer: Dennis Wylie