Gao Yunyun, Zhang Guoxing, Jiang Shunyao, Liu Yong-Xin
Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen Chinese Academy of Agricultural Sciences Shenzhen China.
Shenzhen Wekemo Technology Group Co., Ltd. Shenzhen China.
Imeta. 2024 Feb 13;3(1):e175. doi: 10.1002/imt2.175. eCollection 2024 Feb.
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 https://www.bioincloud.tech/.
元组学方法在研究微生物群落的结构、功能和细胞间相互作用方面的应用日益增加，导致可用数据激增。然而，如此大量的人类和环境微生物组数据给现有的生物信息学工具带来了新的可扩展性挑战。作为回应，我们推出了Wekemo Bioincloud——一个专门用于组学研究的平台。该平台提供了一个全面的分析解决方案，特别设计用于缓解面对不断扩大的数据集时用户在工具选择方面的挑战。截至目前，Wekemo Bioincloud已定期配备22个工作流程和65个可视化工具，成为一个用户友好且被广泛接受的用于研究各种数据集的平台。此外，该平台支持在线修改向量输出，并且无需注册的个性化仪表板系统确保了隐私和可追溯性。Wekemo Bioincloud可在https://www.bioincloud.tech/免费获取。
