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Related Experiment Video

Updated: Nov 19, 2025

Phage Phenomics: Physiological Approaches to Characterize Novel Viral Proteins

Phage Phenomics: Physiological Approaches to Characterize Novel Viral Proteins

Published on: June 11, 2015

VIRMOTIF: A User-Friendly Tool for Viral Sequence Analysis.

Pedram Rajaei¹, Khadijeh Hoda Jahanian², Amin Beheshti³

¹Amirkabir University of Technology, Tehran 346512, Iran.

|January 30, 2021

Summary

This summary is machine-generated.

VIRMOTIF is a new bioinformatics tool that analyzes DNA sequences, offering motif analysis, data visualization, and clustering. It uniquely analyzes viral genomic motifs by frequency and representation (D-ratio).

Keywords:

D-ratio motif analysis sequence analysis sequence variation virus genome

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Last Updated: Nov 19, 2025

Phage Phenomics: Physiological Approaches to Characterize Novel Viral Proteins

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Multi-locus Variable-number Tandem-repeat Analysis of the Fish-pathogenic Bacterium Yersinia ruckeri by Multiplex PCR and Capillary Electrophoresis

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Isolation and Genome Analysis of Single Virions using 'Single Virus Genomics'

Isolation and Genome Analysis of Single Virions using 'Single Virus Genomics'

Published on: May 26, 2013

Area of Science:

Bioinformatics
Computational Biology
Genomics

Background:

Bioinformatics and computational biology have advanced biological research.
Numerous tools exist, but a comprehensive, user-friendly package for DNA sequence analysis is needed.

Purpose of the Study:

To introduce VIRMOTIF, a novel, user-friendly bioinformatics tool for comprehensive DNA sequence analysis.
To integrate diverse analytical functions into a single, accessible package.

Main Methods:

VIRMOTIF computes motif occurrences and probabilities in DNA sequences.
It incorporates data visualization using matplotlib and heatmap libraries.
Includes data clustering via K-means, PCA, Mean Shift, and ClusterMap algorithms.

Main Results:

VIRMOTIF provides a unified platform for multiple DNA sequence analysis tasks.
It uniquely analyzes viral genomic motifs using frequency and D-ratio.
Facilitates data visualization and clustering for enhanced biological insights.

Conclusions:

VIRMOTIF offers a comprehensive and user-friendly solution for DNA sequence analysis.
Its unique D-ratio analysis for viral motifs advances genomic research.
The integrated approach enhances efficiency and accessibility for researchers.