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 et al. (2020) <doi:10.1101/2020.11.09.373613>.

Version:	1.1.1
Depends:	R (≥ 3.6.0), methods
Imports:	GenomeInfoDb, GenomicRanges, IRanges, Matrix, Rsamtools, S4Vectors, Seurat (≥ 3.2.0), SeuratObject, data.table, dplyr (≥ 1.0.0), future, future.apply, ggplot2, ggseqlogo, irlba, pbapply, tidyr, patchwork, stats, utils, BiocGenerics, Biostrings, ggrepel, stringi, ggbio, biovizBase, AnnotationFilter, fastmatch, lsa, RcppRoll, scales, Rcpp, ggforce
LinkingTo:	Rcpp
Suggests:	testthat (≥ 2.1.0), chromVAR, SummarizedExperiment, TFBSTools, motifmatchr, BSgenome, shiny, miniUI
Published:	2021-02-03
Author:	Tim Stuart [aut, cre], Avi Srivastava [aut], Paul Hoffman [ctb], Rahul Satija [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:	yes
Citation:	Signac citation info
Materials:	README NEWS
CRAN checks:	Signac results

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