Majorbio Cloud 2024 introduces updated single-cell and multiomics workflows to facilitate the analysis of complex biological data. The platform provides comprehensive tools for bulk transcriptome, single-cell transcriptome, proteome, metabolome, metagenome, and other omics data analysis. It enables researchers to analyze multiomics data and infer biological meaning, with an interactive communication and knowledge-sharing platform. The single-cell transcriptomics workflow includes six steps: data preprocessing, cell filtration, batch effect removal and sample merging, clustering, marker gene identification, and downstream analysis. It uses tools like Cell Ranger and Seurat for data processing and analysis, and includes differential expression analysis, pathway enrichment, and cell communication analysis. The proteomics workflow is a user-friendly pipeline for data-independent acquisition, label-free quantitation, and Tandem mass tag-based quantitative proteomics data processing. It includes seven main modules, with additional modules for biomarker discovery and model development. The workflow supports statistical analysis, protein set analysis, WGCNA, GSEA, and time-series data analysis. The metabolomics workflow includes five steps: data preprocessing, sample comparison analysis, metabolite annotation, differential expression metabolites analysis, and metabolite set analysis. It uses tools like PCA and PLS-DA for statistical analysis and provides advanced analyses for biomarker discovery. The integrated multiomics pipelines combine transcriptomic and proteomic data analysis to support differential expression analysis, correlation between mRNA and protein abundance, functional annotation, and interactive visualization. The microbiome and metabolome association analysis workflow helps establish logical associations between species/function, metabolites, and phenotypes. The platform also offers an interactive analysis mode with extension tools for deeper data mining. Over 150,000 users have used Majorbio Cloud for omics data mining, with over 2000 articles citing the platform in 2024. The platform is continuously updated to enhance user experience and provide deeper insights into omics data.Majorbio Cloud 2024 introduces updated single-cell and multiomics workflows to facilitate the analysis of complex biological data. The platform provides comprehensive tools for bulk transcriptome, single-cell transcriptome, proteome, metabolome, metagenome, and other omics data analysis. It enables researchers to analyze multiomics data and infer biological meaning, with an interactive communication and knowledge-sharing platform. The single-cell transcriptomics workflow includes six steps: data preprocessing, cell filtration, batch effect removal and sample merging, clustering, marker gene identification, and downstream analysis. It uses tools like Cell Ranger and Seurat for data processing and analysis, and includes differential expression analysis, pathway enrichment, and cell communication analysis. The proteomics workflow is a user-friendly pipeline for data-independent acquisition, label-free quantitation, and Tandem mass tag-based quantitative proteomics data processing. It includes seven main modules, with additional modules for biomarker discovery and model development. The workflow supports statistical analysis, protein set analysis, WGCNA, GSEA, and time-series data analysis. The metabolomics workflow includes five steps: data preprocessing, sample comparison analysis, metabolite annotation, differential expression metabolites analysis, and metabolite set analysis. It uses tools like PCA and PLS-DA for statistical analysis and provides advanced analyses for biomarker discovery. The integrated multiomics pipelines combine transcriptomic and proteomic data analysis to support differential expression analysis, correlation between mRNA and protein abundance, functional annotation, and interactive visualization. The microbiome and metabolome association analysis workflow helps establish logical associations between species/function, metabolites, and phenotypes. The platform also offers an interactive analysis mode with extension tools for deeper data mining. Over 150,000 users have used Majorbio Cloud for omics data mining, with over 2000 articles citing the platform in 2024. The platform is continuously updated to enhance user experience and provide deeper insights into omics data.