getflanking

getflanking extracts flanking regions of genomic sequences to enable analysis of genetic elements adjacent to specified sites and interpretation of high-throughput next-generation sequencing datasets.


Key Features:

  • Flanking Region Extraction: Retrieves sequences flanking specified genomic regions for examination of local genetic context.
  • Integration with Galaxy Project: Integrated within the Galaxy framework.
  • Scalability for next-generation sequencing: Implements computational and statistical methods to handle large-scale genomic datasets produced by next-generation sequencing technologies.
  • Provenance tracking: Automatically records computational analyses within the Galaxy environment to support reproducibility and provenance of results.

Scientific Applications:

  • Biomedical Research: Provides flanking sequence context for studies of gene function and exploration of genetic variation around genes or regulatory elements.
  • Data Accessibility and Reproducibility: Supports transparency, reuse, and reproducibility by automatically tracking computational analyses within the Galaxy environment.

Methodology:

Leverages computational power and statistical methods to process and analyze large-scale genomic datasets produced by next-generation sequencing technologies.

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

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