Package: fCCAC Version: 1.39.0 Date: 2025-04-07 Type: Package Title: functional Canonical Correlation Analysis to evaluate Covariance between nucleic acid sequencing datasets Authors@R: c(person(given = "Pedro", family = "Madrigal", role = c("aut", "cre"), email = "pmadrigal@ebi.ac.uk", comment = c(ORCID = "0000-0003-1959-8199") ) ) Description: Computational evaluation of variability across DNA or RNA sequencing datasets is a crucial step in genomics, as it allows both to evaluate reproducibility of replicates, and to compare different datasets to identify potential correlations. fCCAC applies functional Canonical Correlation Analysis to allow the assessment of: (i) reproducibility of biological or technical replicates, analyzing their shared covariance in higher order components; and (ii) the associations between different datasets. fCCAC represents a more sophisticated approach that complements Pearson correlation of genomic coverage. Depends: R (>= 4.2.0), S4Vectors, IRanges, GenomicRanges, grid Imports: fda, RColorBrewer, genomation, ggplot2, ComplexHeatmap, grDevices, stats, utils Suggests: RUnit, BiocGenerics, BiocStyle, knitr, rmarkdown License: Artistic-2.0 LazyLoad: yes biocViews: Epigenetics, Transcription, Sequencing, Coverage, ChIPSeq, FunctionalGenomics, RNASeq, ATACSeq, MNaseSeq URL: https://github.com/pmb59/fCCAC BugReports: https://github.com/pmb59/fCCAC/issues Config/pak/sysreqs: make libbz2-dev libicu-dev liblzma-dev libpng-dev libxml2-dev libssl-dev perl libx11-dev xz-utils zlib1g-dev Repository: https://bioc.r-universe.dev Date/Publication: 2026-04-28 12:44:39 UTC RemoteUrl: https://github.com/bioc/fCCAC RemoteRef: HEAD RemoteSha: b982fa260a77728082dab6119887a02692ccd9ab NeedsCompilation: no Packaged: 2026-07-04 14:34:53 UTC; root Author: Pedro Madrigal [aut, cre] (ORCID: ) Maintainer: Pedro Madrigal