modifygenomiccoordinates
modifygenomiccoordinates adjusts genomic coordinates by extending or shrinking genomic intervals to prepare regions for analysis of next-generation sequencing (NGS) and other high-throughput genomic datasets.
Key Features:
- Coordinate Manipulation: Adjusts genomic coordinates by extending or shrinking intervals to modify region boundaries.
- Galaxy Integration: Executes within the Galaxy project computational infrastructure for workflow integration.
- Provenance Tracking: Automatically logs actions and analysis steps to enable reproducibility and inspection.
- Support for Large-Scale Analyses: Handles coordinate adjustments suitable for processing large NGS and biomedical datasets.
Scientific Applications:
- Data Preparation: Prepares genomic region sets by resizing intervals for downstream analyses and pipelines.
- Reproducibility: Provides automatically logged provenance to support reproducible computational analyses.
- Large-Scale NGS Processing: Facilitates management of interval definitions in large-scale next-generation sequencing workflows.
Methodology:
Performs coordinate extension and shrinking and utilizes the Galaxy project computational infrastructure with automated provenance logging.
Topics
Collections
Details
- Maturity:
- Mature
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 12/19/2016
- Last Updated:
- 11/25/2024
Operations
Data Inputs & Outputs
Data handling
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.