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VPMBench:变体优先级排序方法测试基准

VPMBench: a test bench for variant prioritization methods.

机构信息

Modeling and Simulation Group, Institute for Visual and Analytic Computing, University of Rostock, Albert-Einstein-Straße 22, 18051, Rostock, Germany.

Limbus Medical Technologies GmbH, Lindenstraße 2, 18055, Rostock, Germany.

出版信息

BMC Bioinformatics. 2021 Nov 8;22(1):543. doi: 10.1186/s12859-021-04458-0.

DOI:10.1186/s12859-021-04458-0
PMID:34749640
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8576923/
Abstract

BACKGROUND

Clinical diagnostics of whole-exome and whole-genome sequencing data requires geneticists to consider thousands of genetic variants for each patient. Various variant prioritization methods have been developed over the last years to aid clinicians in identifying variants that are likely disease-causing. Each time a new method is developed, its effectiveness must be evaluated and compared to other approaches based on the most recently available evaluation data. Doing so in an unbiased, systematic, and replicable manner requires significant effort.

RESULTS

The open-source test bench "VPMBench" automates the evaluation of variant prioritization methods. VPMBench introduces a standardized interface for prioritization methods and provides a plugin system that makes it easy to evaluate new methods. It supports different input data formats and custom output data preparation. VPMBench exploits declaratively specified information about the methods, e.g., the variants supported by the methods. Plugins may also be provided in a technology-agnostic manner via containerization.

CONCLUSIONS

VPMBench significantly simplifies the evaluation of both custom and published variant prioritization methods. As we expect variant prioritization methods to become ever more critical with the advent of whole-genome sequencing in clinical diagnostics, such tool support is crucial to facilitate methodological research.

摘要

背景

全外显子组和全基因组测序数据的临床诊断需要遗传学家为每位患者考虑数千种遗传变异。近年来,已经开发出各种变体优先级方法,以帮助临床医生识别可能导致疾病的变体。每次开发新方法时,都必须根据最新可用的评估数据对其有效性进行评估和与其他方法进行比较。以公正、系统和可重复的方式做到这一点需要大量的工作。

结果

开源测试台“VPMBench”自动化了变体优先级方法的评估。VPMBench 为优先级方法引入了标准化接口,并提供了一个插件系统,使评估新方法变得更加容易。它支持不同的输入数据格式和自定义输出数据准备。VPMBench 利用方法的显式指定信息,例如方法支持的变体。插件也可以通过容器化以与技术无关的方式提供。

结论

VPMBench 大大简化了自定义和已发布变体优先级方法的评估。随着全基因组测序在临床诊断中的应用,变体优先级方法变得越来越重要,因此这种工具支持对于促进方法学研究至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ac5/8576923/57dc8dc47813/12859_2021_4458_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ac5/8576923/c9b472072b39/12859_2021_4458_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ac5/8576923/fabebed25949/12859_2021_4458_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ac5/8576923/57dc8dc47813/12859_2021_4458_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ac5/8576923/c9b472072b39/12859_2021_4458_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ac5/8576923/fabebed25949/12859_2021_4458_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ac5/8576923/57dc8dc47813/12859_2021_4458_Fig3_HTML.jpg

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