A framework for the analysis and exploration of single-cell chromatin data. The 'Signac' package contains functions for quantifying single-cell chromatin data, computing per-cell quality control metrics, dimension reduction and normalization, visualization, and DNA sequence motif analysis. Reference: Stuart et al. (2021) <doi:10.1038/s41592-021-01282-5>.
Version: 1.14.0 Depends: R (≥ 4.1.0), methods Imports: GenomeInfoDb (≥ 1.29.3), GenomicRanges, IRanges, Matrix, Rsamtools, S4Vectors, SeuratObject (≥ 5.0.2), data.table, dplyr (≥ 1.0.0), future, future.apply, ggplot2, rlang, irlba, pbapply, tidyr, patchwork, stats, utils, BiocGenerics, stringi, fastmatch, RcppRoll, scales, Rcpp, grid, tidyselect, vctrs, lifecycle LinkingTo: Rcpp Suggests: Seurat (≥ 5.0.2), ggforce, ggrepel, ggseqlogo, testthat (≥ 2.1.0), chromVAR, SummarizedExperiment, TFBSTools, motifmatchr, BSgenome, shiny, miniUI, rtracklayer, biovizBase, Biostrings, lsa, MASS Published: 2024-08-21 DOI: 10.32614/CRAN.package.Signac Author: Tim Stuart [aut, cre], Avi Srivastava [aut], Paul Hoffman [ctb], Rahul Satija [ctb] Maintainer: Tim Stuart <stuartt at gis.a-star.edu.sg> BugReports: https://github.com/stuart-lab/signac/issues License: MIT + file LICENSE URL: https://github.com/stuart-lab/signac, https://stuartlab.org/signac NeedsCompilation: yes Citation: Signac citation info Materials: README NEWS In views: Omics CRAN checks: Signac results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=Signac to link to this page.
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