GeniePool 2.0:通过CHM13-T2T、AlphaMissense、gnomAD V4集成和变体共现查询推进变体分析。

IF 3.4 4区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY Database: The Journal of Biological Databases and Curation Pub Date : 2024-12-27 DOI:10.1093/database/baae130
Grisha Weintraub, Noam Hadar, Ehud Gudes, Shlomi Dolev, Ohad S Birk
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引用次数: 0

摘要

genepool最初是为了应对基因组数据泛滥的挑战而开发的,作为一个开创性的平台,由于其数据湖架构,它可以高效地存储、访问和分析大量基因组数据集。在此基础上,GeniePool 2.0通过集成尖端的变体数据库(如CHM13-T2T、AlphaMissense和gnomAD V4)以及变体共现查询功能,推进了基因组分析。这种进化为基因组分析提供了前所未有的粒度和范围,从增强我们对变异致病性和表型关联的理解到促进研究合作。CHM13-T2T的引入为人类遗传变异提供了更准确的参考,AlphaMissense为错义突变的蛋白水平影响预测提供了丰富的平台,gnomAD V4为人类遗传多样性提供了全面的视角。此外,变异共现分析的创新功能对于探索遗传变异的综合效应,促进我们对疾病发病机制中的复合杂合性、上位性和多基因危险因素的理解至关重要。genepool 2.0是一个全面且可扩展的平台,旨在增强基因组数据分析并为基因组研究做出贡献,潜在地支持新发现和临床创新。数据库地址:https://GeniePool.link。
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GeniePool 2.0: advancing variant analysis through CHM13-T2T, AlphaMissense, gnomAD V4 integration, and variant co-occurrence queries.

Originally developed to meet the challenges of genomic data deluge, GeniePool emerged as a pioneering platform, enabling efficient storage, accessibility, and analysis of vast genomic datasets, enabled due to its data lake architecture. Building on this foundation, GeniePool 2.0 advances genomic analysis through the integration of cutting-edge variant databases, such as CHM13-T2T, AlphaMissense, and gnomAD V4, coupled with the capability for variant co-occurrence queries. This evolution offers an unprecedented level of granularity and scope in genomic analyses, from enhancing our understanding of variant pathogenicity and phenotypic associations to facilitating research collaborations. The introduction of CHM13-T2T provides a more accurate reference for human genetic variation, AlphaMissense enriches the platform with protein-level impact predictions of missense mutations, and gnomAD V4 offers a comprehensive view of human genetic diversity. Additionally, the innovative feature for variant co-occurrence analysis is pivotal for exploring the combined effects of genetic variations, advancing our comprehension of compound heterozygosity, epistasis, and polygenic risk factors in disease pathogenesis. GeniePool 2.0 is a comprehensive and scalable platform, which aims to enhance genomic data analysis and contribute to genomic research, potentially supporting new discoveries and clinical innovations. Database URL: https://GeniePool.link.

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来源期刊
Database: The Journal of Biological Databases and Curation
Database: The Journal of Biological Databases and Curation MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
9.00
自引率
3.40%
发文量
100
审稿时长
>12 weeks
期刊介绍: Huge volumes of primary data are archived in numerous open-access databases, and with new generation technologies becoming more common in laboratories, large datasets will become even more prevalent. The archiving, curation, analysis and interpretation of all of these data are a challenge. Database development and biocuration are at the forefront of the endeavor to make sense of this mounting deluge of data. Database: The Journal of Biological Databases and Curation provides an open access platform for the presentation of novel ideas in database research and biocuration, and aims to help strengthen the bridge between database developers, curators, and users.
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