Wekemo Bioincloud: A user-friendly platform for meta-omics data analyses

文献类型： 外文期刊

第一作者： Gao, Yunyun

作者： Gao, Yunyun;Liu, Yong-Xin;Zhang, Guoxing;Jiang, Shunyao

作者机构：

关键词： bioinformatics; meta-omics; microbiome; user-friendly platform; Wekemo Bioincloud

期刊名称：IMETA （ 影响因子：33.2； 五年影响因子：33.2 ）

ISSN： 2770-5986

年卷期： 2024 年 3 卷 1 期

页码：

收录情况： SCI

摘要： The increasing application of meta-omics approaches to investigate the structure, function, and intercellular interactions of microbial communities has led to a surge in available data. However, this abundance of human and environmental microbiome data has exposed new scalability challenges for existing bioinformatics tools. In response, we introduce Wekemo Bioincloud-a specialized platform for -omics studies. This platform offers a comprehensive analysis solution, specifically designed to alleviate the challenges of tool selection for users in the face of expanding data sets. As of now, Wekemo Bioincloud has been regularly equipped with 22 workflows and 65 visualization tools, establishing itself as a user-friendly and widely embraced platform for studying diverse data sets. Additionally, the platform enables the online modification of vector outputs, and the registration-independent personalized dashboard system ensures privacy and traceability. Wekemo Bioincloud is freely available at . Wekemo Bioincloud is a specialized platform for meta-omics studies that addresses scalability challenges in handling vast microbial community data with 22 workflows and 65 visualization tools. It provides comprehensive analysis, online vector output modification, and ensures privacy with a registration-independent dashboard system. image Wekemo Bioincloud offers not just workflows for diverse meta-omics data analysis but also a rich array of tools for effective data visualization. Enables modifying vector outputs online, achieving publication-ready figures. Displays tools' popularity/usage trends, enhancing the platform's flexibility and user-friendly experience.

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