2024
DOI: 10.1002/imt2.175
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Wekemo Bioincloud: A user‐friendly platform for meta‐omics data analyses

Yunyun Gao,
Guoxing Zhang,
Shunyao Jiang
et al.

Abstract: 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 challe… Show more

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Cited by 48 publications
(9 citation statements)
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“…All figures and tables in this article are visualized by Wekemo Bioincloud (https: //www.bioincloud.tech/, accessed on 18 October 2022) [31].…”
Section: Discussionmentioning
confidence: 99%
“…All figures and tables in this article are visualized by Wekemo Bioincloud (https: //www.bioincloud.tech/, accessed on 18 October 2022) [31].…”
Section: Discussionmentioning
confidence: 99%
“…The hierarchical tree was constructed using the unweighted paired arithmetic mean method (UPGMA) based on UniFrac distance (Wang et al 2017 ). For β-diversity, Wekemo Bioincloud (Gao et al 2024 ) was used to visualize the result of non-metric multidimensional scaling (NMDS), principal component analysis (PCA), and principal coordinate analysis (PCOA) based on Bray–Curtis distance.…”
Section: Methodsmentioning
confidence: 99%
“…Furthermore, we employed the Bioinformatics Cloud platform (Wekemo Bioincloud: https://www.bioincloud.tech/task-meta accessed on 4 May 2024) to perform a principal component analysis (PCA) on the functional gene sets between the two groups. To assess the variability in microbial functional communities among different group samples, we implemented a non-metric multidimensional scaling (NMDS) analysis based on the Bray-Curtis distance metric, followed by a linear discriminant analysis (LDA) [27].…”
Section: Data Visualization and Statistical Analysismentioning
confidence: 99%