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 [aut, cre], 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:	no
Materials:	README NEWS
CRAN checks:	Signac results

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