Rbowtie

Rbowtie provides an R interface to the Bowtie short-read aligner and SpliceMap to align sequencing reads to reference genomes and discover de novo splice junctions for transcriptome and variant analyses.


Key Features:

  • Bowtie integration: Leverages the Bowtie short-read aligner to perform rapid mapping of sequencing reads against large reference genomes.
  • SpliceMap integration: Utilizes SpliceMap for de novo splice junction discovery and alignment of spliced reads.
  • RNA-seq support: Supports alignment and splice-aware analysis of RNA-seq short reads for transcript-level investigations.
  • R/Bioconductor interface: Exposes Bowtie and SpliceMap functionality within R and the Bioconductor framework for programmatic workflow integration.
  • Interoperability: Enables interoperability with other Bioconductor packages to facilitate downstream analyses such as differential expression and variant processing.

Scientific Applications:

  • Transcriptome Analysis: Aligns RNA-seq reads and identifies splice junctions to aid transcript annotation and quantification.
  • Variant Calling: Provides alignments of short reads to reference genomes that can be used as input for variant discovery workflows.
  • Alternative Splicing Studies: Detects de novo splice junctions to support analyses of alternative splicing events and isoform diversity.

Methodology:

Rbowtie invokes Bowtie for efficient short-read alignment and uses SpliceMap for identification of novel splice junctions.

Topics

Collections

Details

License:
Artistic-1.0
Tool Type:
command-line tool, library
Operating Systems:
Linux, Windows, Mac
Added:
1/17/2017
Last Updated:
11/25/2024

Operations

Publications

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M. Orchestrating high-throughput genomic analysis with Bioconductor. Nature Methods. 2015;12(2):115-121. doi:10.1038/nmeth.3252. PMID:25633503. PMCID:PMC4509590.

Documentation

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