compareoverlappingsmallquery

compareoverlappingsmallquery identifies overlaps between small query sequences and a reference sequence to detect overlapping regions for genomic and transcriptomic analyses of next-generation DNA sequencing data.


Key Features:

  • Overlap Identification: Precisely detects overlapping regions between small query sequences and a specified reference sequence.
  • Galaxy Project integration: Packaged to run within the Galaxy Project platform.
  • Reproducibility and Transparency: Tracks computational steps within Galaxy to support reproducible analyses.
  • Scalability for next-generation sequencing: Designed to accommodate large-scale datasets typical of next-generation DNA sequencing.

Scientific Applications:

  • Genomic Research: Identifies overlaps useful for comparative genomics, variant analysis, and functional annotation.
  • Transcriptomics and Epigenetics: Maps small RNA sequences and small regulatory elements to genomes to support transcriptomic and epigenetic investigations.

Methodology:

Computational algorithms compare small query sequences against a reference sequence to detect overlapping regions and apply statistical methods to ensure accuracy, accommodating large-scale next-generation sequencing data.

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

Sequence feature comparison

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