tadar
Transcriptome Analysis of Differential Allelic Representation
Bioconductor version: 3.23 · Package version: 1.10.0
This package provides functions to standardise the analysis of Differential Allelic Representation (DAR). DAR compromises the integrity of Differential Expression analysis results as it can bias expression, influencing the classification of genes (or transcripts) as being differentially expressed. DAR analysis results in an easy-to-interpret value between 0 and 1 for each genetic feature of interest, where 0 represents identical allelic representation and 1 represents complete diversity. This metric can be used to identify features prone to false-positive calls in Differential Expression analysis, and can be leveraged with statistical methods to alleviate the impact of such artefacts on RNA-seq data.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("tadar") Details
| Maintainer | Lachlan Baer <baerlachlan@gmail.com> |
| Author | Lachlan Baer [aut, cre] (ORCID: <https://orcid.org/0000-0001-5213-3401>), Stevie Pederson [aut] (ORCID: <https://orcid.org/0000-0001-8197-3303>) |
| License | GPL-3 |
| URL | https://github.com/baerlachlan/tadar |
| Bug Reports | https://github.com/baerlachlan/tadar/issues |
| Downloads rank | 197 |
| Source branch | RELEASE_3_23 |
| biocViews | DifferentialExpression, GenomicVariation, RNASeq, SNP, Sequencing, Software, VariantAnnotation |
Documentation
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Dependencies
Depends: GenomicRanges, ggplot2, R (>= 4.4.0)
Imports: BiocGenerics, Seqinfo, Gviz, IRanges, lifecycle, MatrixGenerics, methods, rlang, Rsamtools, S4Vectors, stats, VariantAnnotation
Suggests: BiocStyle, covr, knitr, limma, rmarkdown, testthat (>= 3.0.0), tidyverse