QuadFinder
QuadFinder identifies and analyzes nucleotide sequences capable of forming G-quadruplex structures in RNA to investigate their structural properties and potential regulatory roles in gene expression.
Key Features:
- G-quadruplex detection: Detects sequences that form stacked sets of four guanine bases (G-quadruplexes) stabilized by Hoogsteen hydrogen bonding.
- RNA focus: Targets analysis of RNA and unimolecular quadruplex-forming nucleotide sequences.
- Motif variant support: Supports definition and analysis of different variants of the G-quadruplex motif.
- Sequence-context recognition: Identifies G-quadruplex occurrences in genomic contexts, including repetitive DNA regions such as telomeres.
- Prediction and analysis: Performs sequence-based prediction and comprehensive bioinformatics analysis of quadruplex-forming sequences.
Scientific Applications:
- Gene expression regulation: Assess potential regulatory roles of G-quadruplexes influencing gene expression at diverse genomic locations.
- Therapeutic target identification: Identify candidate G-quadruplexes in RNA for exploration as novel therapeutic targets.
- Structural characterization: Study structural properties of G-quadruplexes formed by stacked guanine tetrads and Hoogsteen hydrogen bonding.
- Genomic distribution analysis: Explore distribution and prevalence of quadruplex structures across genomic regions, including telomeric repeats.
Methodology:
Performs sequence-based prediction and comprehensive bioinformatics analyses of unimolecular G-quadruplex-forming nucleotide sequences and supports definition of G-quadruplex motif variants.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Python
- Added:
- 2/10/2017
- Last Updated:
- 11/25/2024
Operations
Data Inputs & Outputs
Quadruplex formation site detection
Publications
Scaria V, Hariharan M, Arora A, Maiti S. Quadfinder: server for identification and analysis of quadruplex-forming motifs in nucleotide sequences. Nucleic Acids Research. 2006;34(Web Server):W683-W685. doi:10.1093/nar/gkl299. PMID:16845097. PMCID:PMC1538896.