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

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