Var∣Decrypt:一种新颖且用户友好的工具,用于探索和优先考虑全外显子组测序数据中的变体。

IF 4.2 2区 生物学 Q1 GENETICS & HEREDITY
Mohammad Salma, Elina Alaterre, Jérôme Moreaux, Eric Soler
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引用次数: 0

摘要

背景:高通量测序(HTS)为发现包括癌症在内的多种人类疾病的致病基因变异提供了前所未有的机会,并彻底改变了临床诊断。然而,尽管基于hts的分析方法已经使用了十多年,但从全外显子组测序(WES)数据中提取相关功能信息仍然具有挑战性,特别是对于缺乏深入生物信息学技能的非专业人员。结果:为了解决这一限制,我们开发了Var∣Decrypt,这是一个基于网络的工具,旨在极大地促进WES数据的浏览和分析。Var∣Decrypt提供了广泛的基因和变异过滤可能性,聚类和富集工具,提供了一种有效的方法来获得患者特定的功能信息,并优先考虑基因变异的功能分析。我们将Var∣Decrypt应用于10例急性红细胞白血病(一种罕见的侵袭性白血病)患者的WES数据集,并恢复了已知的疾病致癌基因以及新的推定驱动因素。我们还使用约90个多发性骨髓瘤WES的独立数据集验证了Var∣Decrypt的性能,概括了已确定的解除调控的基因和途径,显示了Var∣Decrypt用于WES分析的一般适用性和多功能性。结论:尽管多年来在人类健康中使用WES来诊断和发现疾病驱动因素,但WES数据分析仍然是一项复杂的任务,需要先进的生物信息学技能。在这种情况下,需要用户友好的一体化专用工具进行数据分析,允许生物学家和临床医生从患者数据集中提取相关的生物学信息。在这里,我们提供Var∣Decrypt(试用版可在这里访问:https://vardecrypt.com/app/vardecrypt),这是一个简单直观的Rshiny应用程序,旨在填补这一空白。源代码和详细的用户教程可在https://gitlab.com/mohammadsalma/vardecrypt。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Var∣Decrypt: a novel and user-friendly tool to explore and prioritize variants in whole-exome sequencing data.

Var∣Decrypt: a novel and user-friendly tool to explore and prioritize variants in whole-exome sequencing data.

Var∣Decrypt: a novel and user-friendly tool to explore and prioritize variants in whole-exome sequencing data.

Var∣Decrypt: a novel and user-friendly tool to explore and prioritize variants in whole-exome sequencing data.

Background: High-throughput sequencing (HTS) offers unprecedented opportunities for the discovery of causative gene variants in multiple human disorders including cancers, and has revolutionized clinical diagnostics. However, despite more than a decade of use of HTS-based assays, extracting relevant functional information from whole-exome sequencing (WES) data remains challenging, especially for non-specialists lacking in-depth bioinformatic skills.

Results: To address this limitation, we developed Var∣Decrypt, a web-based tool designed to greatly facilitate WES data browsing and analysis. Var∣Decrypt offers a wide range of gene and variant filtering possibilities, clustering and enrichment tools, providing an efficient way to derive patient-specific functional information and to prioritize gene variants for functional analyses. We applied Var∣Decrypt on WES datasets of 10 acute erythroid leukemia patients, a rare and aggressive form of leukemia, and recovered known disease oncogenes in addition to novel putative drivers. We additionally validated the performance of Var∣Decrypt using an independent dataset of ~ 90 multiple myeloma WES, recapitulating the identified deregulated genes and pathways, showing the general applicability and versatility of Var∣Decrypt for WES analysis.

Conclusion: Despite years of use of WES in human health for diagnosis and discovery of disease drivers, WES data analysis still remains a complex task requiring advanced bioinformatic skills. In that context, there is a need for user-friendly all-in-one dedicated tools for data analysis, to allow biologists and clinicians to extract relevant biological information from patient datasets. Here, we provide Var∣Decrypt (trial version accessible here: https://vardecrypt.com/app/vardecrypt ), a simple and intuitive Rshiny application created to fill this gap. Source code and detailed user tutorial are available at https://gitlab.com/mohammadsalma/vardecrypt .

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来源期刊
Epigenetics & Chromatin
Epigenetics & Chromatin GENETICS & HEREDITY-
CiteScore
7.00
自引率
0.00%
发文量
35
审稿时长
1 months
期刊介绍: Epigenetics & Chromatin is a peer-reviewed, open access, online journal that publishes research, and reviews, providing novel insights into epigenetic inheritance and chromatin-based interactions. The journal aims to understand how gene and chromosomal elements are regulated and their activities maintained during processes such as cell division, differentiation and environmental alteration.
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