FTG
FTG predicts protein-coding regions in nucleotide sequences by applying Fourier transform techniques to detect periodic signals indicative of coding regions.
Key Features:
- Fourier Transform Approach: FTG applies Fourier transform algorithms to convert nucleotide sequences into frequency-domain representations to reveal periodic patterns associated with coding regions.
- Gene Prediction: It identifies probable protein-coding regions within nucleotide sequences based on detected periodicities.
- GIF Output: Analysis results are rendered as GIF-format images that visualize the predicted coding regions.
Scientific Applications:
- Genome Annotation: Supports genome annotation by locating probable protein-coding regions within genomic sequences.
- Comparative Genomics: Provides predicted coding-region maps that can be used in comparative genomics analyses.
- Evolutionary Studies: Facilitates evolutionary studies by enabling identification and comparison of coding-region periodicities across sequences.
- Functional Element Identification: Aids identification of functional elements of genomes and broader genetic analysis by pinpointing protein-coding regions.
Methodology:
Implements Fourier transform algorithms to transform nucleotide sequences into frequency-domain representations and detect periodic signals associated with protein-coding genes.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 8/3/2017
- Last Updated:
- 11/24/2024
Operations
Publications
Issac B, Singh H, Kaur H, Raghava GPS. Locating probable genes using Fourier transform approach. Bioinformatics. 2002;18(1):196-197. doi:10.1093/bioinformatics/18.1.196. PMID:11836230.
PMID: 11836230