getexons

getexons extracts exonic regions from transcript sequences to enable analysis of transcriptomic data produced by high-throughput next-generation DNA sequencing.


Key Features:

  • Exon Extraction: Isolates exon sequences from transcript data to provide precise exonic information for genomic and transcriptomic analyses.
  • Integration with Galaxy Project: Operates within the Galaxy Project infrastructure to leverage its computational framework for analysis execution.
  • Provenance Tracking: Records and maintains comprehensive details of analytical steps to support transparency and reproducibility of analyses.
  • Scalability for Biomedical Research: Supports processing of extensive datasets typical of modern genomic and high-throughput sequencing studies.

Scientific Applications:

  • Transcriptomic Studies: Enables investigation of gene expression patterns and detection of alternative splicing events via extracted exonic sequences.
  • Genome Annotation: Aids refinement of genome annotations by providing accurate exon coordinates and sequences for defining gene structure.
  • Disease Research: Facilitates identification of exonic mutations or variations relevant to studies of genetic disease phenotypes.

Methodology:

Utilizes computational algorithms tailored to process transcriptomic data efficiently, leverages robust statistical and computational methods via integration with the Galaxy Project infrastructure, and maintains comprehensive records of all analytical steps.

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

Exome assembly

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