IsoBayes
IsoBayes: Single Isoform protein inference Method via Bayesian Analyses
Bioconductor version: Release (3.19)
IsoBayes is a Bayesian method to perform inference on single protein isoforms. Our approach infers the presence/absence of protein isoforms, and also estimates their abundance; additionally, it provides a measure of the uncertainty of these estimates, via: i) the posterior probability that a protein isoform is present in the sample; ii) a posterior credible interval of its abundance. IsoBayes inputs liquid cromatography mass spectrometry (MS) data, and can work with both PSM counts, and intensities. When available, trascript isoform abundances (i.e., TPMs) are also incorporated: TPMs are used to formulate an informative prior for the respective protein isoform relative abundance. We further identify isoforms where the relative abundance of proteins and transcripts significantly differ. We use a two-layer latent variable approach to model two sources of uncertainty typical of MS data: i) peptides may be erroneously detected (even when absent); ii) many peptides are compatible with multiple protein isoforms. In the first layer, we sample the presence/absence of each peptide based on its estimated probability of being mistakenly detected, also known as PEP (i.e., posterior error probability). In the second layer, for peptides that were estimated as being present, we allocate their abundance across the protein isoforms they map to. These two steps allow us to recover the presence and abundance of each protein isoform.
Author: Jordy Bollon [aut], Simone Tiberi [aut, cre]
Maintainer: Simone Tiberi <simone.tiberi at unibo.it>
citation("IsoBayes")
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Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("IsoBayes")
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("IsoBayes")
IsoBayes | HTML | R Script |
Reference Manual | ||
NEWS | Text | |
LICENSE | Text |
Details
biocViews | AlternativeSplicing, Bayesian, GeneExpression, Genetics, MassSpectrometry, Proteomics, RNASeq, Sequencing, Software, StatisticalMethod, Visualization |
Version | 1.2.6 |
In Bioconductor since | BioC 3.18 (R-4.3) (1 year) |
License | GPL-3 |
Depends | R (>= 4.3.0) |
Imports | methods, Rcpp, data.table, glue, stats, doParallel, parallel, doRNG, foreach, iterators, ggplot2, HDInterval, SummarizedExperiment, S4Vectors |
System Requirements | C++17 |
URL | https://github.com/SimoneTiberi/IsoBayes |
Bug Reports | https://github.com/SimoneTiberi/IsoBayes/issues |
See More
Suggests | knitr, rmarkdown, testthat, BiocStyle |
Linking To | Rcpp, RcppArmadillo |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | IsoBayes_1.2.6.tar.gz |
Windows Binary | IsoBayes_1.2.6.zip |
macOS Binary (x86_64) | IsoBayes_1.2.6.tgz |
macOS Binary (arm64) | IsoBayes_1.2.6.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/IsoBayes |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/IsoBayes |
Bioc Package Browser | https://code.bioconductor.org/browse/IsoBayes/ |
Package Short Url | https://bioconductor.org/packages/IsoBayes/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.19 | Source Archive |