<scp>WebSEQ</scp>: A New Tool for Democratizing Omics Data Sharing

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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Publication Details

Journal
Glia
Published
2024-12-25
DOI
https://doi.org/10.1002/glia.24646
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00

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article

WebSEQ: A New Tool for Democratizing Omics Data Sharing

Steven A. Sloan, Shane A. Liddelow, Ye Zhang
Glia
Single-cell and spatial transcriptomics
article

WebSEQ: A New Tool for Democratizing Omics Data Sharing

Steven A. Sloan, Shane A. Liddelow, Ye Zhang
article en

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.

GliaVol. 73(3)
Emory University (US), University of California, Los Angeles (US), Neurobehavioral Systems (US)
National Institutes of Health
Openalex Percentile: Top 79%
Single-cell and spatial transcriptomics
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<scp>WebSEQ</scp>: A New Tool for Democratizing Omics Data Sharing — Steven A. Sloan, Shane A. Liddelow, et al. · Glia (2024) | TGRS Research Map | TGRS