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TiDEomics

This is the development version of TiDEomics; to use it, please install the devel version of Bioconductor.

Time-course Differential Expression analysis of omics data


Bioconductor version: Development (3.24)

TiDEomics provides an integrated workflow for multi-group time-course omics data analysis. It uses model-based differential expression, variance decomposition, and co-expression module analysis with WGCNA to characterise temporal, group, and group-specific temporal effects. Multi-dataset and multi-omics comparisons and consensus module identification can be performed using shared features. The package includes quality control, data processing, functional enrichment, and integrated visualisation. It supports data with missing values, and operates on SummarizedExperiment objects for interoperability with the Bioconductor ecosystem.

Author: Tianen He [aut, cre] ORCID iD ORCID: 0000-0001-6864-0723

Maintainer: Tianen He <tianen.he at ndm.ox.ac.uk>

Citation (from within R, enter citation("TiDEomics")):
Seminal Bioconductor project articles:

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.

Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.

Installation

To install this package, start R (version "4.6") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("TiDEomics")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("TiDEomics")
TiDEomics Tutorial HTML R Script
TiDEomics Tutorial: Multi-Dataset/Multi-Omics Analysis HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews DifferentialExpression, GeneExpression, MultipleComparison, Pathways, Proteomics, QualityControl, Software, TimeCourse, Transcriptomics, Visualization
Version 0.99.7
In Bioconductor since BioC 3.24 (R-4.6)
License GPL (>= 2)
Depends R (>= 4.6.0)
Imports circlize, clusterProfiler, ComplexHeatmap, dplyr, enrichplot, ggforce, ggh4x, ggplot2, ggplotify, ggpubr, ggrepel, ggridges, ggsci, limma, lme4, methods, patchwork, pbapply, PCAtools, randtests, scales, SummarizedExperiment, tibble, tidyr, Trendy, umap, WGCNA
System Requirements
URL https://bioconductor.org/packages/TiDEomics/ https://github.com/hte123/TiDEomics https://hte123.github.io/TiDEomics
Bug Reports https://github.com/hte123/TiDEomics/issues
See More
Suggests knitr, rmarkdown, BiocStyle, testthat (>= 3.1.0), plotly, enrichR, org.Hs.eg.db, org.Mm.eg.db, msigdbr, DeeDeeExperiment
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package TiDEomics_0.99.7.tar.gz
Windows Binary (x86_64) TiDEomics_0.99.5.zip
macOS Binary (big-sur-x86_64) TiDEomics_0.99.6.tgz
macOS Binary (sonoma-arm64) TiDEomics_0.99.5.tgz
Source Repository git clone https://git.bioconductor.org/packages/TiDEomics
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/TiDEomics
Bioc Package Browser https://code.bioconductor.org/browse/TiDEomics/
Package Short Url https://bioconductor.org/packages/TiDEomics/
Package Downloads Report Download Stats