TCseq
Time course sequencing data analysis
Bioconductor version: 3.23 · Package version: 1.36.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
Quantitative and differential analysis of epigenomic and transcriptomic time course sequencing data, clustering analysis and visualization of the temporal patterns of time course data.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("TCseq")Details
| Maintainer | Mengjun Wu <minervajunjun@gmail.com> |
| Author | Mengjun Wu <minervajunjun@gmail.com>, Lei Gu <leigu@broadinstitute.org> |
| License | GPL (>= 2) |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | ChIPSeq, Clustering, DifferentialExpression, Epigenetics, RNASeq, Sequencing, Software, TimeCourse, Visualization |
| Package Short Url | https://bioconductor.org/packages/TCseq/ |
Citation
From within R, enter citation("TCseq"):
Mengjun Wu, Lei Gu. TCseq: Time course sequencing data analysis. doi:10.18129/B9.bioc.TCseq, R package version 1.36.0, https://bioconductor.org/packages/TCseq.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | TCseq_1.36.0.tar.gz |
| Windows binary (x86_64) | TCseq_1.36.0.zip |
| macOS binary (arm64) | TCseq_1.36.0.tgz |
| macOS binary (x86_64) | TCseq_1.36.0.tgz |
Dependencies
Depends: R (>= 3.4)
Imports: edgeR, BiocGenerics, reshape2, GenomicRanges, IRanges, SummarizedExperiment, GenomicAlignments, Rsamtools, e1071, cluster, ggplot2, grid, grDevices, stats, utils, methods, locfit
Suggests: testthat
Reverse dependencies
Suggests Me (1): ClusterGVis