bam2roi
bam2roi extracts regions of interest (ROIs) from BAM files to enable focused downstream genomic analyses such as variant calling, expression analysis, and targeted sequencing.
Key Features:
- Integration with Galaxy Platform: Operates within the Galaxy framework to execute ROI-generation workflows from BAM inputs.
- Galaxy API / Bioblend integration: Communicates with Galaxy using the Galaxy API or the Bioblend library for workflow control and data exchange.
- Execution on Galaxy@Pasteur cluster: Runs workflows on the Institut Pasteur high-performance computing resources via the Galaxy@Pasteur instance.
- Centralized server access: Centralizes access to computational resources and storage through a single server interface for workflow execution and management.
Scientific Applications:
- Variant calling and expression analysis: Produces ROIs from BAM files to support variant calling, expression analysis, and targeted sequencing workflows.
- Genomics, metagenomics and phylogenetics: Enables selection of specific genomic regions relevant to genomics, metagenomics, and phylogenetics studies.
Methodology:
Communicates with the Galaxy platform via its API or the Bioblend library and launches workflows on the Galaxy@Pasteur cluster, centralizing access and management through a single server.
Topics
Collections
Details
- Maturity:
- Mature
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 12/19/2016
- Last Updated:
- 6/16/2020
Operations
Publications
Afgan E, Baker D, van den Beek M, Blankenberg D, Bouvier D, Čech M, Chilton J, Clements D, Coraor N, Eberhard C, Grüning B, Guerler A, Hillman-Jackson J, Von Kuster G, Rasche E, Soranzo N, Turaga N, Taylor J, Nekrutenko A, Goecks J. The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update. Nucleic Acids Research. 2016;44(W1):W3-W10. doi:10.1093/nar/gkw343. PMID:27137889. PMCID:PMC4987906.
Mareuil F, Doppelt-Azeroual O, Ménager H. A public Galaxy platform at Pasteur used as an execution engine for web services. Unknown Journal. 2017. doi:10.7490/f1000research.1114334.1.