The CUSABIO DNA/Protein Repeat Sequence Finder is a fast, browser-based tool for identifying tandem repeats in DNA or protein sequences. It supports automatic sequence type detection and highlights repeat regions for quick interpretation.
This tool is ideal for analyzing microsatellites, protein repeat domains, and other biologically relevant sequence patterns in research workflows.
π§Start Your Analysis
Analysis Results
πGetting Started Guide
Follow these simple steps to analyze your sequence:
1οΈ Enter a single sequence or multiple sequences in FASTA format (starting with ">"). The system will automatically determine the sequence type (nucleotide or protein)
2οΈ Adjust the Minimum Repeat Length if needed (default: 10)
3οΈ Click "Analyze Sequence". The analysis results will show the longest repeat sequences and their positions. Repeat sequences are marked in red in the original sequence.
π₯Tutorial Video
Watch this short demo to get started quickly:
π¬Common Research Applications
This tool is designed for fast identification of tandem repeat sequences in both nucleotide and amino acid data. Typical use cases include:
β Identifying microsatellites (SSRs) for marker development
β Detecting tandem repeats in genomes related to disease or regulatory elements
β Analyzing protein repeat domains such as LRRs or ankyrin motifs
β Preprocessing sequences prior to alignment, annotation, or modeling
β Studying repeat expansion regions linked to neurodegenerative disorders
βοΈKey Features
𧬠Supports both DNA and protein sequences
π§ Auto-detects sequence type
βοΈ Adjustable Minimum Repeat Length
π Highlights repeat regions with positions
β‘ Fast and browser-based β no installation required
βFrequently Asked Questions
Q: Is this tool free to use?
A: Yes. This tool is freely available for all academic users.
Q: Can it detect imperfect or interspersed repeats?
A: This tool focuses on perfect or near-perfect tandem repeats. It may not capture complex or diverged patterns.
π¬Feedback
If you encounter any issues or have suggestions for improvement, we'd love to hear from you.