WebSEQ: A New Tool for Democratizing Omics Data Sharing

IF 5.4 2区 医学 Q1 NEUROSCIENCES Glia Pub Date : 2024-12-25 DOI:10.1002/glia.24646
Shane A. Liddelow, Ye Zhang, Steven A. Sloan
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Abstract

The relative ease of generation and proliferation of omics datasets has moved considerably faster than the effective dissemination of these data to the scientific community. Despite advancements in making raw data publicly available, many researchers struggle with data analysis and integration. We propose sharing analyzed data through user-friendly platforms to enhance accessibility. Here, we present a free, online tool, for sharing basic omics data in a searchable and user-friendly format. Importantly, it requires no coding or prior computational knowledge to build—only a data spreadsheet. Overall, this tool facilitates the exploration of transcriptomic, proteomic, and metabolomics data, which is crucial for understanding glial diversity and function. This initiative underscores the importance of accessible molecular data in advancing neuroscience research.

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WebSEQ:组学数据共享民主化的新工具。
组学数据集的生成和扩散相对容易,这比这些数据在科学界的有效传播要快得多。尽管在公开原始数据方面取得了进步,但许多研究人员仍在数据分析和整合方面苦苦挣扎。我们建议通过用户友好的平台共享分析数据,以提高可访问性。在这里,我们提供了一个免费的在线工具,用于以可搜索和用户友好的格式共享基本组学数据。重要的是,它不需要编码或先前的计算知识来构建-仅需要一个数据电子表格。总的来说,该工具促进了转录组学、蛋白质组学和代谢组学数据的探索,这对于理解神经胶质多样性和功能至关重要。这一倡议强调了可访问的分子数据在推进神经科学研究中的重要性。
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来源期刊
Glia
Glia 医学-神经科学
CiteScore
13.10
自引率
4.80%
发文量
162
审稿时长
3-8 weeks
期刊介绍: GLIA is a peer-reviewed journal, which publishes articles dealing with all aspects of glial structure and function. This includes all aspects of glial cell biology in health and disease.
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