Suppr超能文献

STRprofiler:用于生物医学模型认证的短串联重复序列图谱的高效比较

STRprofiler: efficient comparisons of short tandem repeat profiles for biomedical model authentication.

作者信息

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

机构信息

Department of Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, TN 38105, United States.

The Jackson Laboratory, Bar Harbor, ME 04609, United States.

出版信息

Bioinformatics. 2024 Nov 28;40(12). doi: 10.1093/bioinformatics/btae713.

Abstract

SUMMARY

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.

AVAILABILITY AND IMPLEMENTATION

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/.

摘要

摘要

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。

可用性和实现方式

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。

相似文献

2
Evaluation of sequencing reads at scale using rdeval.使用rdeval对大规模测序读数进行评估。
bioRxiv. 2025 Feb 8:2025.02.01.636073. doi: 10.1101/2025.02.01.636073.
4
Evaluation of sequencing reads at scale using rdeval.使用rdeval大规模评估测序读数。
Bioinformatics. 2025 Jul 22. doi: 10.1093/bioinformatics/btaf416.

本文引用的文献

9
Forensic evaluation of STR typing reliability in lung cancer.肺癌中STR分型可靠性的法医评估。
Leg Med (Tokyo). 2018 Jan;30:38-41. doi: 10.1016/j.legalmed.2017.11.004. Epub 2017 Nov 11.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验