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.

Documentation

Links