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tTEscanR

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

A user-friendly integrative R package for quantifying and visualizing translation efficiency from sequencing data in diverse biological systems


Bioconductor version: Development (3.24)

Translation elongation is dependent on codon-anticodon interactions, with suitable nucleotide pairing being essential for efficient translation. To quantify this relationship, we previously developed a computational pipeline (GitHub - wgao688/sc_tRNA_mRNA) that uses mRNA codon usage relative to tRNA anticodon availability as a proxy for theoretical translation efficiency (tTE). Here, we introduce tTEscanR, a powerful and user-friendly R-based package that extends this approach to quantify translation efficiency from both bulk and single-cell sequencing data. tTEscanR is a versatile tool for exploring translation efficiency in diverse cellular processes, disease mechanisms, and therapeutic development. It also features an advanced visualization module to generate high-quality plots, enhancing result interpretation and communication.

Author: Ana Varas-Sánchez [aut, cre] ORCID iD ORCID: 0009-0006-0187-8968 , Carlos Gallardo-Dodd [aut] ORCID iD ORCID: 0000-0002-6086-0550 , William Gao [aut] ORCID iD ORCID: 0000-0002-9415-331X , Claudia Kutter [ths] ORCID iD ORCID: 0000-0002-8047-0058 , Karolinska Institutet [fnd] (grant_id: KID-2021-00308, KID-2023-01298), Swedish Research Council [fnd] (grant_id: 2023-02780), Cancerfonden [fnd] (grant_id: 22 2246 Pj, 25 4703 Pj)

Maintainer: Ana Varas-Sánchez <ana.varas at scilifelab.se>

Citation (from within R, enter citation("tTEscanR")):

Ana Varas-Sánchez, Carlos Gallardo-Dodd, William Gao. tTEscanR: A user-friendly integrative R package for quantifying and visualizing translation efficiency from sequencing data in diverse biological systems. doi:10.18129/B9.bioc.tTEscanR, R package version 0.99.2, https://bioconductor.org/packages/tTEscanR.

Generated from the package metadata; it may differ from the package's own citation.

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("tTEscanR")

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("tTEscanR")
tTEscanR Codon Frequency-per-Gene Matrix HTML
tTEscanR tRNA-Specific Preprocessing Module HTML
tTEscanR User Guide HTML
tTEscanR Visualization Module HTML
Reference ManualPDF
NEWSText

Details

biocViews CellBasedAssays, Epitranscriptomics, GeneExpression, GeneRegulation, Sequencing, SingleCell, Software, Transcriptomics
Version0.99.2
In Bioconductor sinceBioC 3.24 (R-4.6)
License MIT + file LICENSE
Depends R (>= 4.5.0)
Imports stats, SummarizedExperiment, Biostrings, S4Vectors, MultiAssayExperiment, Matrix, DESeq2, matrixStats, tibble, dplyr, tRNAscanImport, GenomicRanges, Signac, utils, biomaRt, stringr, ggplot2, ggrepel, uwot, Rtsne, dendsort, grid, ComplexHeatmap, viridis, tidyr, ggpubr, patchwork, purrr, magrittr, rlang
System Requirements
URLhttps://github.com/avarassanchez/tTEscanR
Bug Reportshttps://github.com/avarassanchez/tTEscanR/issues
See More
Suggests testthat, withr, mockery, knitr, rmarkdown, BiocStyle, devtools, pheatmap, Seurat, IRanges, GenomeInfoDb, Rsamtools
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Package Archives

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

Source Package
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (sonoma-arm64)
Source Repositorygit clone https://git.bioconductor.org/packages/tTEscanR
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/tTEscanR
Package Short Url https://bioconductor.org/packages/tTEscanR/
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