R453Plus1Toolbox
R453Plus1Toolbox: Analysis of Roche 454 Sequencing Data in R/Bioconductor
R453Plus1Toolbox integrates Roche 454 sequencing data into the R/Bioconductor environment and extends native Roche software functionality with statistical analysis, quality control, variant annotation, visualization, and structural variant detection.
Key Features:
- Data Importation: Imports projects generated by Roche 454 data analysis software into R/Bioconductor for downstream statistical and graphical analysis.
- Quality Assurance: Implements quality control methods to assess sequencing data accuracy and reliability.
- Variant Annotation and Visualization: Annotates detected genetic variants and provides functions for graphical representation of variant data.
- Structural Variant Detection Pipeline: Detects structural variants, including balanced chromosomal translocations, to identify genomic rearrangements.
- Customizable Workflows: Supports adaptable analytical workflows within the R/Bioconductor framework for project-specific analyses.
Scientific Applications:
- Genomic Variant Analysis: Enables detection and interpretation of genetic and structural variants in Roche 454 sequencing datasets for structural genomics and personalized medicine research.
Methodology:
Processes Roche 454 sequencing projects by importing native output into R/Bioconductor, applying quality control procedures, performing statistical analyses, annotating genetic variants, visualizing variant data, and executing a pipeline for structural variant detection, including balanced chromosomal translocations.
Topics
Collections
Details
- License:
- GPL-3.0
- Tool Type:
- command-line tool, library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 1/17/2017
- Last Updated:
- 12/30/2018
Operations
Data Inputs & Outputs
Sequence analysis
Publications
Klein H, Bartenhagen C, Kohlmann A, Grossmann V, Ruckert C, Haferlach T, Dugas M. R453Plus1Toolbox: an R/Bioconductor package for analyzing Roche 454 Sequencing data. Bioinformatics. 2011;27(8):1162-1163. doi:10.1093/bioinformatics/btr102. PMID:21349869.