TRAP: automated classification, quantification and annotation of tandemly repeated sequences

Area of Science:

• Bioinformatics
• Genomics
• Computational Biology

Background:

• Tandemly repeated sequences, including satellite DNA, play crucial roles in genome structure and evolution.
• Analyzing these repetitive elements is essential for understanding genome organization and function.
• Existing methods for analyzing tandem repeats can be fragmented and labor-intensive.

Purpose of the Study:

• To introduce TRAP (Tandem Repeats Analysis Program), a Perl program designed for comprehensive analysis of tandemly repeated sequences.
• To provide researchers with a unified platform for selecting, classifying, quantifying, and annotating repetitive DNA elements.
• To facilitate the assessment of satellite DNA content in both individual DNA sequences and entire genomes.

Main Methods:

• TRAP utilizes the output from the Tandem Repeats Finder program as input.
• It performs a global analysis of satellite DNA content.
• The program offers automated annotation capabilities, generating data in feature table and GFF formats.

Main Results:

• TRAP enables researchers to easily assess the tandem repeat content of DNA sequences.
• The program provides a unified set of analyses for repetitive DNA.
• Results can be exported in user-friendly formats like HTML and CSV.

Conclusions:

• TRAP offers a powerful and integrated solution for the analysis of tandemly repeated sequences in genomics.
• The program simplifies the process of satellite DNA content assessment and annotation.
• TRAP enhances the ability of researchers to study repetitive elements across different scales of genomic data.