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Updated: Jan 5, 2026

An Integrated Approach for Microprotein Identification and Sequence Analysis
Published on: July 12, 2022
ChromaClade: combined visualisation of phylogenetic and sequence data
Christopher Monit1, Richard A Goldstein2, Greg J Towers2
1Division of Infection and Immunity, University College London, London, WC1E 6BT, UK. c.monit.12@ucl.ac.uk.
Sequence gazing reveals evolutionary insights, but phylogeny is key. ChromaClade visualizes sequence data on phylogenies, aiding the study of lineage-specific adaptations and evolutionary patterns in viruses.
Area of Science:
- Bioinformatics
- Computational Biology
- Evolutionary Biology
Background:
- Analyzing amino acid frequencies aids in understanding biological variability and adaptation.
- Phylogenetic context is crucial to differentiate common descent from selection pressure and identify evolutionary events like founder effects versus convergent evolution.
- Visualizing sequence and phylogenetic data together can yield evolutionary insights.
Purpose of the Study:
- To develop a tool that integrates phylogenetic and sequence data for evolutionary visualization.
- To create an intuitive graphical user interface for analyzing sequence-residue patterns within a phylogenetic framework.
- To facilitate the identification of lineage-specific adaptations and evolutionary events.
Main Methods:
- Development of ChromaClade, a tool with a graphical user interface.
- Integration of ChromaClade with popular phylogenetic tree viewers.
- Color-annotated phylogenies highlighting residues at each site and taxon.
- Application to human immunodeficiency virus (HIV) and influenza A virus datasets.
Main Results:
- ChromaClade generates color-annotated phylogenies that visualize site-specific residues across taxa.
- The tool effectively identifies lineage-specific residues and key substitutions on internal branches.
- Demonstrated utility in analyzing conserved, adaptive, and convergent evolution in viral datasets.
- Successful application to human immunodeficiency virus and influenza A virus data.
Conclusions:
- ChromaClade provides a powerful method for visualizing site-wise residue distributions and evolutionary patterns.
- The approach is particularly effective for large datasets and complex evolutionary analyses.
- ChromaClade aids in distinguishing between different modes of evolution, such as convergent evolution.
- The software is accessible for Windows, macOS, and Unix/Linux systems, with source code available.
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