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Automated Phylogenetic Analysis Using Best Reciprocal BLAST.

Erin R Butterfield¹, James C Abbott², Mark C Field^3,4

¹Wellcome Centre for Anti-infectives Research, School of Life Sciences, University of Dundee, Dundee, UK. ebutterfield@dundee.ac.uk.

Methods in Molecular Biology (Clifton, N.J.)

|July 27, 2021

Summary

This summary is machine-generated.

Identifying orthologs and paralogs is crucial for understanding evolutionary history and has applications in drug discovery. This study presents a fast, automated system for finding these gene relationships in eukaryotes.

Keywords:

Automation Drug discovery Evolution Homology Ortholog Phylogenetics Sequence searching

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Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group

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Area of Science:

Evolutionary biology
Genomics
Bioinformatics

Background:

Reconstructing gene evolutionary history requires identifying orthologs and paralogs across taxa.
Ortholog identification is vital for protein expression, drug discovery, and identifying critical residues.

Purpose of the Study:

To develop an automated system for searching orthologs and paralogs in eukaryotic organisms.
To provide a fast and user-friendly alternative to manual methods.

Main Methods:

Development of an automated computational system.
System designed for searching eukaryotic genomes.

Main Results:

The system automates the identification of orthologs and paralogs.
The automated system is significantly faster than manual methods.
The system requires minimal user input and is highly configurable.

Conclusions:

Automated ortholog and paralog identification is feasible and efficient.
This system offers a valuable tool for evolutionary and functional genomics studies.
The approach accelerates research in areas like drug discovery and protein function analysis.