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Updated: Apr 18, 2026

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data
Published on: June 24, 2021
rbamtools: an R interface to samtools enabling fast accumulative tabulation of splicing events over multiple RNA-seq
Wolfgang Kaisers1, Heiner Schaal2, Holger Schwender2
1Center for Bioinformatics and Biostatistics, BMFZ, Heinrich Heine University Düsseldorf, Institut für Virologie, and Mathematical Institute, Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany.
The rbamtools package enhances R statistical software for analyzing biological sequence alignments in BAM format. It offers comprehensive tools for reading, writing, subsetting, and visualizing alignment data, including splicing events.
Area of Science:
- Bioinformatics
- Computational Biology
- Genomics
Background:
- The R environment is a leading platform for statistical analysis of biological data.
- Sequence Alignment Map (SAM) and Binary Alignment Map (BAM) formats are standard for storing sequence alignment data.
- R users require efficient tools to interact with BAM files for biological data exploration.
Purpose of the Study:
- To introduce rbamtools, an R package providing full accessibility to BAM files.
- To enable seamless reading, writing, subsetting, and plotting of BAM data within R.
- To facilitate the tabulation of splicing events across multiple BAM files.
Main Methods:
- Development of an R package, rbamtools, with syntax mirroring the SAM/BAM format.
- Implementation of functions for direct manipulation of BAM file content.
- Integration of capabilities for accumulative tabulation of splicing events.
Main Results:
- rbamtools offers a comprehensive interface for BAM file access in R.
- The package supports essential operations like data reading, writing, subset extraction, and alignment depth plotting.
- Efficient tabulation of splicing events across numerous BAM files is achievable.
Conclusions:
- rbamtools significantly enhances the utility of R for analyzing sequence alignment data.
- The package provides R users with powerful and user-friendly tools for BAM file manipulation.
- Facilitates advanced analyses such as splicing event quantification in large-scale genomic studies.
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