BUMHMM

This package is for version 3.13 of Bioconductor; for the stable, up-to-date release version, see BUMHMM.

Computational pipeline for computing probability of modification from structure probing experiment data


Bioconductor version: 3.13

This is a probabilistic modelling pipeline for computing per- nucleotide posterior probabilities of modification from the data collected in structure probing experiments. The model supports multiple experimental replicates and empirically corrects coverage- and sequence-dependent biases. The model utilises the measure of a "drop-off rate" for each nucleotide, which is compared between replicates through a log-ratio (LDR). The LDRs between control replicates define a null distribution of variability in drop-off rate observed by chance and LDRs between treatment and control replicates gets compared to this distribution. Resulting empirical p-values (probability of being "drawn" from the null distribution) are used as observations in a Hidden Markov Model with a Beta-Uniform Mixture model used as an emission model. The resulting posterior probabilities indicate the probability of a nucleotide of having being modified in a structure probing experiment.

Author: Alina Selega (alina.selega@gmail.com), Sander Granneman, Guido Sanguinetti

Maintainer: Alina Selega <alina.selega at gmail.com>

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

Installation

To install this package, start R (version "4.1") and enter:


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

BiocManager::install("BUMHMM")

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("BUMHMM")
An Introduction to the BUMHMM pipeline PDF R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews Bayesian, Classification, Coverage, FeatureExtraction, GeneExpression, GeneRegulation, GeneticVariability, Genetics, HiddenMarkovModel, ImmunoOncology, RNASeq, Regression, Sequencing, Software, StructuralPrediction, Transcription, Transcriptomics
Version 1.16.0
In Bioconductor since BioC 3.5 (R-3.4) (7 years)
License GPL-3
Depends R (>= 3.4)
Imports devtools, stringi, gtools, stats, utils, SummarizedExperiment, Biostrings, IRanges
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Suggests testthat, knitr, BiocStyle
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Package Archives

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

Source Package BUMHMM_1.16.0.tar.gz
Windows Binary BUMHMM_1.16.0.zip (32- & 64-bit)
macOS 10.13 (High Sierra) BUMHMM_1.16.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/BUMHMM
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/BUMHMM
Bioc Package Browser https://code.bioconductor.org/browse/BUMHMM/
Package Short Url https://bioconductor.org/packages/BUMHMM/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.13 Source Archive