Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA.
TEES-AgriLife Center for Bioinformatics and Genomic Systems Engineering, Texas A&M University, College Station, TX 77843, USA.
Database (Oxford). 2018 Jan 1;2018. doi: 10.1093/database/bay019.
Metadata curation has become increasingly important for biological discovery and biomedical research because a large amount of heterogeneous biological data is currently freely available. To facilitate efficient metadata curation, we developed an easy-to-use web-based curation application, GEOMetaCuration, for curating the metadata of Gene Expression Omnibus datasets. It can eliminate mechanical operations that consume precious curation time and can help coordinate curation efforts among multiple curators. It improves the curation process by introducing various features that are critical to metadata curation, such as a back-end curation management system and a curator-friendly front-end. The application is based on a commonly used web development framework of Python/Django and is open-sourced under the GNU General Public License V3. GEOMetaCuration is expected to benefit the biocuration community and to contribute to computational generation of biological insights using large-scale biological data. An example use case can be found at the demo website: http://geometacuration.yubiolab.org. Database URL: https://bitbucket.com/yubiolab/GEOMetaCuration
元数据策展对于生物发现和生物医学研究变得越来越重要,因为目前有大量异构的生物数据可供免费使用。为了促进高效的元数据策展,我们开发了一个易于使用的基于网络的策展应用程序,即 GEOMetaCuration,用于策展基因表达综合数据集的元数据。它可以消除消耗宝贵策展时间的机械操作,并有助于协调多个策展人之间的策展工作。它通过引入对元数据策展至关重要的各种功能来改进策展过程,例如后端策展管理系统和对策展人友好的前端。该应用程序基于 Python/Django 常用的 Web 开发框架,并根据 GNU 通用公共许可证 V3 开源。GEOMetaCuration 有望使生物策展社区受益,并有助于使用大规模生物数据进行计算生成生物学见解。一个示例用例可以在演示网站上找到:http://geometacuration.yubiolab.org。数据库 URL:https://bitbucket.com/yubiolab/GEOMetaCuration