Westlake Omics Cloud Platform (WOCP) is independently developed by Westlake Omics. It is a powerful cloud computing platform designed for big data analysis of proteomics and other omics. WOCP provides users with a vast range of solutions including, but is not limited to, integrated bioinformatic analysis, personalized bioinformatic graphic tools, multi-omics targeted analysis, and precise machine learning models.
Integrated Multi-tasking Bioinformatic Analysis Protocol
The WOCP integrates a complete set of data analyses in proteomics such as TMT and DIA. It has outstanding performance in generating interactive reports with high-quality graphics for data quality control, differential analysis, clustering analysis, pathway analysis, and interacting network analysis with just one click of a button.
Personalized Interactive Bioinformatic Graphic Tools
The WOCP incorporates a variety of analysis tools to meet individualized analytical needs such as batch design, batch correction, data extraction, statistics, quality control, differential analysis, clustering analysis, functional pathway analysis, etc.
Multi-omics Targeted Analysis
The WOCP’S unique multi-omics analysis protocol integrates proteomics, metabolomics, peptide omics analyses, which specifically includes survival analysis, correlation analysis, WGCNA functional module analysis, PPI interaction network analysis and targeted proteome verification, etc.
Precise machine learning models with multiple parameter choices
Clinical molecular subtyping is enabled by models built by various machine learning methods such as RF, SVM, GLM, LASSO, which supports functions such as feature screening, sample classification and prediction with auxiliary diagnostic reports.
Professional user’s manual and report interpretation
The platform provides detailed terminology descriptions, parameter setting guidelines, and professional report interpretations for each process.
Westlake Omics Cloud Platform (WOCP) is independently developed by Westlake Omics. It is a powerful cloud computing platform designed for big data analysis of proteomics and other omics. WOCP provides users with a vast range of solutions including, but is not limited to, integrated bioinformatic analysis, personalized bioinformatic graphic tools, multi-omics targeted analysis, and precise machine learning models.
Integrated Multi-tasking Bioinformatic Analysis Protocol
The WOCP integrates a complete set of data analyses in proteomics such as TMT and DIA. It has outstanding performance in generating interactive reports with high-quality graphics for data quality control, differential analysis, clustering analysis, pathway analysis, and interacting network analysis with just one click of a button.
Personalized Interactive Bioinformatic Graphic Tools
The WOCP incorporates a variety of analysis tools to meet individualized analytical needs such as batch design, batch correction, data extraction, statistics, quality control, differential analysis, clustering analysis, functional pathway analysis, etc.
Multi-omics Targeted Analysis
The WOCP’S unique multi-omics analysis protocol integrates proteomics, metabolomics, peptide omics analyses, which specifically includes survival analysis, correlation analysis, WGCNA functional module analysis, PPI interaction network analysis and targeted proteome verification, etc.
Precise machine learning models with multiple parameter choices
Clinical molecular subtyping is enabled by models built by various machine learning methods such as RF, SVM, GLM, LASSO, which supports functions such as feature screening, sample classification and prediction with auxiliary diagnostic reports.
Professional user’s manual and report interpretation
The platform provides detailed terminology descriptions, parameter setting guidelines, and professional report interpretations for each process.
