PEAS V1.0: a package for elementary analysis of SNP data

Area of Science:

• Population Genetics
• Molecular Phylogenetics
• Bioinformatics

Background:

• Analyzing large single nucleotide polymorphism (SNP) datasets is crucial for population genetics and molecular phylogenetics.
• Existing software packages have limitations in handling diverse data formats and performing specific analyses.

Purpose of the Study:

• To develop a versatile software package named PEAS (Population and Evolutionary Analysis Suite) to facilitate SNP data analysis.
• To address existing gaps in computational tools for population genetics and molecular phylogenetics.

Main Methods:

• PEAS accepts SNP data in various input formats and converts them for use with popular software like STRUCTURE, MEGA, and PHYLIP.
• The software calculates genetic distance matrices with bootstrapping from genome-wide SNP data.
• It performs haplotype sharing analysis for phylogenetic studies.

Main Results:

• PEAS enables the creation of input files for numerous widely-used bioinformatics packages.
• It calculates genetic distance matrices and reconstructs component trees from STRUCTURE output.
• Novel tools for haplotype sharing analysis are provided, which are not available in other programs.

Conclusions:

• PEAS offers a comprehensive solution for analyzing large SNP datasets in population genetics and molecular phylogenetics.
• The software fills critical analytical gaps, providing new capabilities for researchers.
• PEAS is freely available for academic users.