Package: wavClusteR Type: Package Title: Sensitive and highly resolved identification of RNA-protein interaction sites in PAR-CLIP data Version: 2.47.0 Date: 2015-05-07 Depends: R (>= 3.2), GenomicRanges (>= 1.31.8), Rsamtools Imports: methods, BiocGenerics, S4Vectors (>= 0.17.25), IRanges (>= 2.13.12), Biostrings (>= 2.47.6), foreach, GenomicFeatures (>= 1.31.3), ggplot2, Hmisc, mclust, rtracklayer (>= 1.39.7), seqinr, stringr, txdbmaker Suggests: BiocStyle, knitr, rmarkdown, BSgenome.Hsapiens.UCSC.hg19 Enhances: doMC VignetteBuilder: knitr Author: Federico Comoglio and Cem Sievers Maintainer: Federico Comoglio Description: The package provides an integrated pipeline for the analysis of PAR-CLIP data. PAR-CLIP-induced transitions are first discriminated from sequencing errors, SNPs and additional non-experimental sources by a non- parametric mixture model. The protein binding sites (clusters) are then resolved at high resolution and cluster statistics are estimated using a rigorous Bayesian framework. Post-processing of the results, data export for UCSC genome browser visualization and motif search analysis are provided. In addition, the package allows to integrate RNA-Seq data to estimate the False Discovery Rate of cluster detection. Key functions support parallel multicore computing. Note: while wavClusteR was designed for PAR-CLIP data analysis, it can be applied to the analysis of other NGS data obtained from experimental procedures that induce nucleotide substitutions (e.g. BisSeq). License: GPL-2 biocViews: ImmunoOncology, Sequencing, Technology, RIPSeq, RNASeq, Bayesian LazyLoad: yes RoxygenNote: 7.0.2 Config/pak/sysreqs: cmake make libbz2-dev libicu-dev liblzma-dev libpng-dev libuv1-dev libxml2-dev libssl-dev xz-utils zlib1g-dev Repository: https://bioc.r-universe.dev Date/Publication: 2026-04-28 12:39:13 UTC RemoteUrl: https://github.com/bioc/wavClusteR RemoteRef: HEAD RemoteSha: 231077608f4a1af7146a4b1c1f29e692fe93d5d8 NeedsCompilation: no Packaged: 2026-07-03 06:26:19 UTC; root