STRAF 2: New features and improvements of the STR population data analysis software

Area of Science:

• Forensic Genetics
• Population Genetics
• Bioinformatics

Background:

• Population data analysis is crucial for forensic genetics casework.
• Existing tools for STR data analysis can be complex and require significant expertise.
• A unified and user-friendly platform is needed to streamline these analyses.

Purpose of the Study:

• To introduce the latest version of STRAF (STR Analysis for Forensics) software.
• To highlight the new features and improvements in STRAF 2.
• To provide an accessible tool for forensic geneticists to analyze population data.

Main Methods:

• Development of STRAF 2 as an R package and web application.
• Implementation of new statistical methods including multidimensional scaling and haplotype diversity analysis.
• Inclusion of file conversion utilities and performance enhancements.

Main Results:

• STRAF 2 offers an improved user experience and extended documentation.
• New statistical methods enhance the analytical capabilities for population genetics parameters.
• The tool facilitates interactive exploration of genetic datasets.

Conclusions:

• STRAF 2 provides a convenient and powerful solution for analyzing forensic STR data.
• The updated software supports a wider range of statistical analyses and user needs.
• STRAF 2 is freely available, promoting broader accessibility in forensic genetics research.