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 |