bakR
1.0.1Analyze and Compare Nucleotide Recoding RNA Sequencing Datasets
Overview
Several implementations of a novel Bayesian hierarchical statistical model of nucleotide recoding RNA-seq experiments (NR-seq; TimeLapse-seq, SLAM-seq, TUC-seq, etc.) for analyzing and comparing NR-seq datasets (see 'Vock and Simon' (2023) doi:10.1261/rna.079451.122). NR-seq is a powerful extension of RNA-seq that provides information about the kinetics of RNA metabolism (e.g., RNA degradation rate constants), which is notably lacking in standard RNA-seq data. The statistical model makes maximal use of these high-throughput datasets by sharing information across transcripts to significantly improve uncertainty quantification and increase statistical power. 'bakR' includes a maximally efficient implementation of this model for conservative initial investigations of datasets. 'bakR' also provides more highly powered implementations using the probabilistic programming language 'Stan' to sample from the full posterior distribution. 'bakR' performs multiple-test adjusted statistical inference with the output of these model implementations to help biologists separate signal from background. Methods to automatically visualize key results and detect batch effects are also provided.
Install
Health
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Documentation
- Examples that run
- 28%
- Documented parameters
- 98%
- Return-value docs
- 100%
- References docs
- 13%
Downloads
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Checks run against github.com/simonlabcode/bakr on 2026-08-16.
Dependencies
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Code & Tests
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Package metadata
- First published
- 2022-10-10
- Total releases
- 4 / 4 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 102 KB / 4 files
- Download size
- 789 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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