Signac: Analysis of Single-Cell Chromatin Data

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 and Butler et al. (2019) <doi:10.1016/j.cell.2019.05.031>.

Version: 0.2.5
Depends: R (≥ 3.4.0), methods
Imports: GenomeInfoDb, GenomicRanges, IRanges, Matrix, Rsamtools, S4Vectors, Seurat, data.table, dplyr, future, future.apply, ggplot2, ggseqlogo, irlba, pbapply, tidyr, zoo, patchwork, gggenes, grid, stats, utils, BiocGenerics
Suggests: testthat (≥ 2.1.0), chromVAR, SummarizedExperiment, TFBSTools, motifmatchr, Biostrings, BSgenome
Published: 2020-04-16
Author: Tim Stuart ORCID iD [aut, cre], Paul Hoffman ORCID iD [ctb], Rahul Satija ORCID iD [ctb]
Maintainer: Tim Stuart <tstuart at nygenome.org>
BugReports: https://github.com/timoast/signac/issues
License: MIT + file LICENSE
URL: https://github.com/timoast/signac, https://satijalab.org/signac
NeedsCompilation: no
Materials: README NEWS
CRAN checks: Signac results

Downloads:

Reference manual: Signac.pdf
Package source: Signac_0.2.5.tar.gz
Windows binaries: r-prerelease: Signac_0.2.5.zip, r-release: Signac_0.2.5.zip, r-oldrel: Signac_0.2.5.zip
macOS binaries: r-prerelease: Signac_0.2.4.tgz, r-release: not available, r-oldrel: not available
Old sources: Signac archive

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