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.