sortgff
sortgff sorts General Feature Format (GFF) files to order genomic feature records by genomic coordinates or other specified criteria for downstream genomic analyses.
Key Features:
- Integration with Galaxy@Pasteur: Integrated into the Galaxy@Pasteur instance to execute within Galaxy's execution engine.
- GFF sorting: Produces consistently ordered GFF outputs by sorting feature entries according to genomic coordinates or user-specified criteria.
- Scalability: Operates within a scalable Galaxy computational environment to process large GFF datasets.
- API and library support: Communicates with the Galaxy platform via the Galaxy API or the Bioblend library for job submission and management.
Scientific Applications:
- Genome annotation: Provides ordered GFF input required by genome annotation pipelines.
- Comparative genomics: Enables consistent ordering of genomic features to facilitate comparisons across species or strains.
- Functional genomics: Supplies organized feature files to support analyses of gene function and regulation.
Methodology:
Runs inside the Galaxy framework using its execution engine; it reads an unsorted GFF file, organizes entries based on genomic coordinates or other specified criteria, outputs a sorted GFF file, and interacts with Galaxy via the Galaxy API or Bioblend.
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
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.
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.