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Evolutionary Relationships through Genome Comparisons

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...

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Related Experiment Video

Updated: Mar 29, 2026

An Integrated Approach for Microprotein Identification and Sequence Analysis

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

Wasabi: An Integrated Platform for Evolutionary Sequence Analysis and Data Visualization.

Andres Veidenberg¹, Alan Medlar¹, Ari Löytynoja²

¹Institute of Biotechnology, University of Helsinki, Helsinki, Finland.

Molecular Biology and Evolution

|December 5, 2015

Summary

This summary is machine-generated.

Wasabi is a user-friendly, open-source web tool for evolutionary sequence analysis. It simplifies complex data visualization, analysis reproducibility, and data sharing for researchers.

Keywords:

data visualization evolutionary sequence analysis reproducible research

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A Practical Guide to Phylogenetics for Nonexperts

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

Area of Science:

Bioinformatics
Computational Biology
Evolutionary Genetics

Background:

Evolutionary sequence analysis requires integrated tools for visualization and computation.
Existing bioinformatics environments can be complex and lack user-friendly interfaces.
Reproducibility and data sharing are critical challenges in comparative genomics.

Purpose of the Study:

To introduce Wasabi, a novel web-based environment for evolutionary sequence analysis.
To provide a user-friendly platform that integrates sequence visualization with phylogenetic analysis.
To enhance reproducibility and facilitate data sharing in genomic research.

Main Methods:

Wasabi offers a web-based interface with drag-and-drop functionality and context-sensitive menus.
It supports phylogeny-aware alignment using PRANK and PAGAN, and alignment extension.
The environment automatically stores analysis steps and allows data import from local files, URLs, and Ensembl.

Main Results:

Wasabi visualizes sequence data alongside phylogenetic trees, displaying ancestral sequences at tree nodes.
It enables seamless data sharing and publication of analysis results.
Demonstrated utility through reanalysis of comparative genomics studies, including the EGLN1 gene.

Conclusions:

Wasabi provides an accessible and efficient platform for evolutionary sequence analysis.
Its integrated approach enhances the reproducibility and usability of genomic research.
The tool is readily available via a web browser without installation.