Alexandre Gouy, Martin Zieger
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摘要

法医遗传学中的人口数据必须经过各种统计参数的检查,才能用于案件工作。有几种工具可用于执行此类任务;然而,由于要使用的软件数量众多,输入格式范围广泛,要获得正确的结果可能具有挑战性。此外,使用其中一些程序还需要大量的经验。为了克服这些困难,我们开发了 STRAF(法医用 STR 分析),这是一款方便的在线工具,用于分析法医遗传学中的 STR 数据。自2017年首次发布以来,它已被许多研究用于报告等位基因频率、法医和群体遗传学参数,并通过友好的用户界面交互式地探索遗传数据集。在此,我们将介绍 STRAF 软件的最新版本以及我们在过去几年中实施的改进。STRAF 2 包含多项新功能,如新的统计方法(多维缩放、与参照群体比较、单体型多样性和频率)和文件转换工具。此外,还改进了性能和用户体验,并扩展了文档。新版本作为 R 软件包(https://github.com/agouy/straf)和网络应用程序(https://straf.fr)免费提供。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
STRAF 2: New features and improvements of the STR population data analysis software.

Population data in forensic genetics must be checked for a variety of statistical parameters before it can be employed for casework. Several tools exist to perform such tasks; however, it can become challenging to obtain the right results due to the number of software to use and the broad range of input formats. Furthermore, a substantial amount of experience is required to use some of these programs. To overcome these difficulties, we have developed STRAF (STR Analysis for Forensics), a convenient online tool to analyse STR data in forensic genetics. Since its first release in 2017, it has been used in many studies to report allele frequencies, forensic and population genetics parameters, and to explore genetic datasets interactively through a user-friendly interface. Herewith, we introduce the latest version of the STRAF software and the improvements we have implemented over the last years. STRAF 2 includes several new features, such as new statistical methods (multidimensional scaling, comparison to a reference population, haplotype diversities and frequencies) and file conversion utilities. Performance and user experience have also been improved and documentation has been extended. This new version is freely available as an R package (https://github.com/agouy/straf) and a web application (https://straf.fr).

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