The Ultimate Guide to the myTAI Package in R
Explore valuable documentation and insights to make the most of the myTAI package in R. Get ready to unlock the full potential of the myTAI package!
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What is the myTAI package?
In this section, we’ll delve into the fundamental aspects and key features of the package.
The myTAI package is a tool designed to perform and visualize temporal transcriptome analysis. This package provides multiple methods for analyzing the temporal dynamics of gene expression data, making it a useful tool for bioinformaticians and biologists.
- Title: Evolutionary Transcriptomics
- Description: Investigate the evolution of biological processes by capturing evolutionary signatures in transcriptomes (Drost et al. (2017) ). The aim of this tool is to provide a transcriptome analysis environment to quantify the average evolutionary age of genes contributing to a transcriptome of interest (Drost et al. (2016) ).
- Author: Hajk-Georg Drost [aut, cre] ()
- Maintainer: Hajk-Georg Drost
How to install the myTAI package?
In this section, we’ll walk you through the process of installing and loading the myTAI package. By following these steps, you can seamlessly add new functions, datasets, and other resources to your R environment for a more robust workflow.
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What package information should you know?
In this section, we’ll go over the technical aspects of the myTAI package.
Key features
- Datasets: Many R packages include built-in datasets that you can use to familiarize yourself with their functionalities. To identify built-in datasets. To identify the datasets for the myTAI package, visit our database of R datasets.
- Vignettes: R vignettes are documents that include examples for using a package. To view the list of available vignettes for the myTAI package, you can visit our visit our database of R vignettes.
- Citation: Citing R packages in your publications is important as it recognizes the contributions of the developers. To find citation information for the myTAI package, visit our database of R package citations.
Technical details
- License type: GPL-3. For license details, visit the Open Source Initiative website.
- Compilation requirements: Some R packages include internal code that must be compiled for them to function correctly. The myTAI package has compilation requirements.
- Required dependencies: A required dependency refers to another package that is essential for the functioning of the main package. The myTAI package has the following required dependencies: R (>= 3.1.1).
- Suggested dependencies: A suggested dependency adds extra features to the main package, but the main package can work without it. The myTAI package has the following suggested dependencies: knitr (>= 1.6), rmarkdown (>= 0.3.3), devtools (>= 1.6.1), testthat (>= 0.9.1), mgcv.
- External dependencies: External dependencies are other packages that the main package depends on for linking at compile time. The myTAI package uses the following external sources: Rcpp, RcppArmadillo, cpp11.
- Imported packages: Importing packages allows developers to leverage existing code and functionalities without having to reinvent the wheel. The myTAI package has the following imported packages: Rcpp (>= 0.12.0), nortest (>= 1.0-2), fitdistrplus (>= 1.0-2), parallel (>= 3.1.1), foreach (>= 1.4.2), doParallel (>= 1.0.8), dplyr (>= 0.3.0), RColorBrewer (>= 1.1-2), taxize (>= 0.6.0), methods (>= 3.1.1), graphics (>= 3.1.1), stats (>= 3.1.1), grDevices (>= 3.1.1), utils (>= 3.1.1), reshape2 (>= 1.4.1), ggplot2 (>= 1.0.1), readr (>= 0.2.2), tibble, scales, gridExtra, edgeR.
- Enhancements: Enhancements help developers expand the capabilities of their packages without starting from scratch. The myTAI package has no enhancements.
How to get help with the myTAI package?
In this section, we’ll discuss a variety of available resources for getting help with the myTAI package.
Key resources
- The help() function: R’s built-in help system is a handy tool to find documentation. You can use the help("myTAI") function to retrieve detailed information, examples, and usage instructions. Alternatively, you can use the ? operator as a shortcut.
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Package website: The myTAI package has a dedicated website. You can visit: https://github.com/drostlab/myTAI.
- Developer support: You can email Hajk-Georg Drost . For contact information, visit our R community directory.
Additional resources
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- Discussion forums: Online forums are excellent platforms to ask questions, share knowledge, and troubleshoot issues. The most popular forums for R programmers are StackOverflow and Posit Community.
Other package guides
Explore our comprehensive guides for other R packages. These guides are valuable resources for accessing a wide range of information, making it easier to navigate R documentation in one place.
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