colorgff

colorgff converts DOOR report files into GFF3 format to represent and annotate genomic features for downstream bioinformatics analyses.


Key Features:

  • DOOR parsing: Parses DOOR report files to extract genomic features and annotation fields.
  • GFF3 conversion: Transforms extracted information into GFF3-compliant output files.
  • Annotation compatibility: Produces GFF3 output suitable for use with genome annotation and visualization tools and databases that consume GFF3.
  • Workflow integration: Integrates with the Galaxy execution environment for incorporation into computational workflows.

Scientific Applications:

  • Genome annotation: Provides standardized GFF3 annotations for genome annotation pipelines.
  • Metagenomic analyses: Enables conversion of operon and feature data from DOOR into GFF3 for metagenomic feature profiling.
  • Phylogenetic studies: Supplies GFF3-formatted feature data that can be used in comparative and phylogenetic analyses.
  • Genomic visualization: Facilitates visualization of genomic features by producing GFF3 files compatible with genome browsers and plotting tools.

Methodology:

Parses input DOOR report files to extract relevant genomic information and systematically formats those annotations into GFF3 output files.

Topics

Collections

Details

Maturity:
Mature
Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
12/19/2016
Last Updated:
6/16/2020

Operations

Data Inputs & Outputs

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.

Documentation

Links