H-SPAR DB: human spaceflight platform for analysis and research-an integrative omics database for space health.

IF 2.7 4区生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY Database: The Journal of Biological Databases and Curation Pub Date : 2026-01-15 DOI:10.1093/database/baaf083

Marios Tomazou, Marilena M Bourdakou, Eleni Nicolaidou, Grigoris Georgiou, Kyriaki Savva, Efi Athieniti, Styliana Menelaou, Sotiroula Afxenti, George M Spyrou

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Abstract

H-SPAR DB is a comprehensive database designed to support space health research by providing a unified platform for data integration, analysis, and interpretation. The database simplifies the complex workflows associated with spaceflight-related biology studies by combining curated molecular lists, transcriptomic datasets from NASA's GeneLab, and user-uploaded data into a streamlined, user-friendly interface. H-SPAR DB enables researchers to perform differential expression analysis, set operations, and association analyses while also generating integrative knowledge graphs around a space-related biological theme. The platform reduces the time required for data gathering and processing by offering a single platform for data exploration, analysis, and visualization. By integrating interactive visualizations and data tables, H-SPAR DB facilitates the interpretation of results, ultimately enhancing the efficiency of space biology research and fostering discoveries that address human health challenges in space. Researchers can access H-SPAR DB freely at https://bioinformatics.cing.ac.cy/H-SPARDB/ without login or other requirements.

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H-SPAR DB：人类航天分析和研究平台——空间健康综合组学数据库。

H-SPAR数据库是一个综合性数据库，旨在通过提供数据集成、分析和解释的统一平台，支持空间健康研究。该数据库通过将精心整理的分子列表、来自NASA基因实验室的转录组数据集和用户上传的数据整合到一个流线型、用户友好的界面中，简化了与航天相关的生物学研究相关的复杂工作流程。H-SPAR DB使研究人员能够执行差异表达分析、集合操作和关联分析，同时还可以围绕与空间相关的生物学主题生成综合知识图。该平台通过提供数据探索、分析和可视化的单一平台，减少了数据收集和处理所需的时间。通过集成交互式可视化和数据表，H-SPAR数据库促进了对结果的解释，最终提高了空间生物学研究的效率，并促进了解决空间中人类健康挑战的发现。研究人员可以在https://bioinformatics.cing.ac.cy/H-SPARDB/上自由访问H-SPARDB，无需登录或其他要求。

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来源期刊

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.