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.

Documentation

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