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Updated: Apr 27, 2026

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

Best practices for data sharing in phylogenetic research.

Karen Cranston¹, Luke J Harmon², Maureen A O'Leary³

¹National Evolutionary Synthesis Center, Duke University, Durham, North Carolina, USA.

|July 3, 2014

Summary

This summary is machine-generated.

Ten simple rules for phylogenetic data sharing are presented to improve data archiving, sharing, and reuse. These best practices aim to enhance data availability and accessibility for future research projects.

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Last Updated: Apr 27, 2026

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Published on: December 7, 2021

Area of Science:

Evolutionary biology
Bioinformatics
Computational biology

Background:

Increasing availability of phylogenetic data, genomic information, species traits, and geographic distributions.
Growing need for robust data sharing and reuse practices in phylogenetics.

Purpose of the Study:

To propose ten "simple rules" for best practices in phylogenetic data sharing.
To facilitate a future where phylogenetic data is easily archived, shared, reused, and repurposed.

Main Methods:

Development of a set of ten guiding principles for data sharing in phylogenetics.
Focus on practical recommendations for researchers.

Main Results:

A framework of ten best practices for effective phylogenetic data management and sharing.
Guidelines to promote data accessibility and interoperability.

Conclusions:

Adoption of these rules will improve the usability and impact of phylogenetic research.
These practices are crucial for advancing the field of phylogenetics through data reuse.