girafe

girafe represents and analyzes genomic intervals containing aligned reads from next-generation sequencing (NGS) data within the R/Bioconductor environment to enable functional exploration of genome-level alignments.


Key Features:

  • Genome-Level Representation: Provides an object class to describe genomic intervals with associated aligned reads, capturing genome-level alignments of NGS data.
  • Integration with Bioconductor Framework: Integrates with Bioconductor packages including ShortRead, IRanges, and genomeIntervals to leverage existing data structures and methods.
  • Functional Exploration: Enables investigation of genomic intervals together with aligned reads to assess relationships between sequences and genomic features.
  • Visualization and Export Capabilities: Includes functions to visualize genomic intervals and associated aligned reads and to export interval data for downstream analysis.

Scientific Applications:

  • Genomic Variant Analysis: Examines aligned reads within genomic intervals to identify variants and assess their potential impact on gene function.
  • Transcriptome Studies: Analyzes RNA-seq alignments relative to genomic features for transcriptomic investigations.
  • Epigenetic Research: Supports examination of sequence reads aligned to regulatory regions such as promoters and enhancers for epigenetic studies.

Methodology:

Implements a genome-interval object class for aligned reads and integrates with ShortRead, IRanges, and genomeIntervals, providing functions for visualization and export.

Topics

Collections

Details

License:
Artistic-2.0
Tool Type:
command-line tool, library
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
1/17/2017
Last Updated:
12/29/2018

Operations

Data Inputs & Outputs

Publications

Toedling J, Ciaudo C, Voinnet O, Heard E, Barillot E. girafe – an R/Bioconductor package for functional exploration of aligned next-generation sequencing reads. Bioinformatics. 2010;26(22):2902-2903. doi:10.1093/bioinformatics/btq531. PMID:20861030. PMCID:PMC2971573.

Documentation

Downloads