Andrews Jared M, Lloyd Michael W, Neuhauser Steven B, Bundy Margaret, Jocoy Emily L, Airhart Susan D, Bult Carol J, Evrard Yvonne A, Chuang Jeffrey H, Baker Suzanne
Department of Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, TN 38105, United States.
The Jackson Laboratory, Bar Harbor, ME 04609, United States.
Bioinformatics. 2024 Nov 28;40(12). doi: 10.1093/bioinformatics/btae713.
Short tandem repeat (STR) profiling is commonly performed for authentication of biomedical models of human origin, yet no tools exist to easily compare sets of STR profiles to each other or an existing database in a high-throughput manner. Here, we present STRprofiler, a Python package, command line tool, and Shiny application providing methods for STR profile comparison and cross-contamination detection. STRprofiler can be run with custom databases or used to query against the Cellosaurus cell line database.
STRprofiler is freely available as a Python package with a rich CLI from PyPI https://pypi.org/project/strprofiler/ with source code available under the MIT license on GitHub https://github.com/j-andrews7/strprofiler and at https://zenodo.org/records/10989034. A web server hosting an example STRprofiler Shiny application backed by a database with data from the National Cancer Institute-funded PDXNet consortium and The Jackson Laboratory PDX program is available at https://sj-bakerlab.shinyapps.io/strprofiler/. Full documentation is available at https://strprofiler.readthedocs.io/en/latest/.
短串联重复序列(STR)分析常用于对源自人类的生物医学模型进行鉴定,但目前尚无工具能够以高通量的方式轻松地将多组STR图谱相互比较或与现有数据库进行比较。在此,我们展示了STRprofiler,这是一个Python软件包、命令行工具和Shiny应用程序,提供了用于STR图谱比较和交叉污染检测的方法。STRprofiler可以使用自定义数据库运行,也可用于查询Cellosaurus细胞系数据库。
STRprofiler作为一个Python软件包可从PyPI(https://pypi.org/project/strprofiler/)免费获取,带有丰富的命令行界面,其源代码在GitHub(https://github.com/j-andrews7/strprofiler)以及https://zenodo.org/records/10989034上遵循MIT许可协议提供。一个托管示例STRprofiler Shiny应用程序的网络服务器,该应用程序由一个数据库支持,数据库包含来自美国国立癌症研究所资助的PDXNet联盟和杰克逊实验室PDX项目的数据,可在https://sj-bakerlab.shinyapps.io/strprofiler/上获取。完整文档可在https://strprofiler.readthedocs.io/en/latest/上获取。