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StructureSelector: A web-based software to select and visualize the optimal number of clusters using multiple

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Summary
This summary is machine-generated.

Accurate population genetic structure inference is crucial. New software, StructureSelector, simplifies using advanced statistics (medmedk, medmeak, maxmedk, maxmeak) for better population structure analysis, overcoming limitations of older methods like Delta K.

Keywords:
Puechmaille methodbest Kclusteringpopulation genetic structurevisualization

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Area of Science:

  • Population genetics
  • Ecology
  • Evolutionary biology

Background:

  • Population genetic structure inference is vital for ecology and evolutionary biology.
  • The widely used STRUCTURE program can yield inaccurate hierarchical structure inferences with uneven sampling.
  • The common Delta K method often identifies only the highest level of population structure.

Purpose of the Study:

  • To address the limitations of existing methods for inferring population genetic structure, especially with uneven sampling.
  • To provide user-friendly access to recently developed, more accurate statistics (medmedk, medmeak, maxmedk, maxmeak).

Main Methods:

  • Development of a web-based software tool named StructureSelector.
  • StructureSelector calculates commonly used statistics (Ln Pr(X|K), Delta K) and four alternative statistics.
  • The software accepts output files from STRUCTURE, ADMIXTURE, or fastSTRUCTURE.

Main Results:

  • StructureSelector offers a user-friendly interface for complex population genetic analyses.
  • It provides accurate estimations of population structure, particularly with uneven sampling data.
  • Results are presented in downloadable HTML or tab-separated tables, with graphical representations.

Conclusions:

  • StructureSelector enhances the accessibility and application of advanced population genetic statistics.
  • The tool facilitates more reliable inferences of population genetic structure, aiding ecological and evolutionary research.
  • It overcomes the usability barrier of newer, more accurate statistical methods.