The Omic Cloud Platform, independently developed by Westlake Omic, is a cloud computing platform designed primarily for big data analysis in proteomics and other omics fields. It provides users with solutions including an integrated automated bioinformatics analysis pipeline, advanced personalized bioinformatics plotting modules, multi-omics joint analysis, and machine learning models.
The Omic Cloud Platform, independently developed by Westlake Omic, is a cloud computing platform designed primarily for big data analysis in proteomics and other omics fields. It provides users with solutions including an integrated automated bioinformatics analysis pipeline, advanced personalized bioinformatics plotting modules, multi-omics joint analysis, and machine learning models.
♦ Integrated Multi-tasking Bioinformatic Analysis Protocol
The integrated bioinformatics analysis pipeline features distributed task multi-node parallel processing. It includes complete analysis processes for proteomics data such as TMT and DIA, from input parameters to data quality control, differential analysis, clustering analysis, pathway analysis, and protein interaction networks. Analysis can be completed with just one click, and high-quality interactive reports and editable graphics are provided.
♦ Personalized Interactive Bioinformatic Graphic Tools
The personalized bioinformatics plotting tool provides interactive graphic design for users. Several small analysis tools are also available, covering batch design, batch correction, data extraction, statistics, quality control, differential analysis, clustering analysis, pathway analysis, immune infiltration analysis, and more.
♦ Multi-omics Targeted Analysis
Multi-omics joint analysis includes scientific analysis of proteomics, metabolomics, transcriptomics, and other data, as well as survival analysis, correlation analysis, WGCNA functional module analysis, PPI protein interaction networks, targeted protein validation, and more.
♦ Precise machine learning models with multiple parameter choices
Precise machine learning models with a variety of parameter options are used to establish models using RF, SVM, GLM, LASSO, and other machine learning methods to classify and predict features and samples for molecular typing in clinical problems. Assistive diagnostic reports are provided.
♦ Professional user’s manual and report interpretation
Detailed glossary explanations and parameter setting guides are provided for each process in the cloud platform, along with professional report interpretation.
The Omic Cloud Platform, independently developed by Westlake Omic, is a cloud computing platform designed primarily for big data analysis in proteomics and other omics fields. It provides users with solutions including an integrated automated bioinformatics analysis pipeline, advanced personalized bioinformatics plotting modules, multi-omics joint analysis, and machine learning models.
The Omic Cloud Platform, independently developed by Westlake Omic, is a cloud computing platform designed primarily for big data analysis in proteomics and other omics fields. It provides users with solutions including an integrated automated bioinformatics analysis pipeline, advanced personalized bioinformatics plotting modules, multi-omics joint analysis, and machine learning models.
♦ Integrated Multi-tasking Bioinformatic Analysis Protocol
The integrated bioinformatics analysis pipeline features distributed task multi-node parallel processing. It includes complete analysis processes for proteomics data such as TMT and DIA, from input parameters to data quality control, differential analysis, clustering analysis, pathway analysis, and protein interaction networks. Analysis can be completed with just one click, and high-quality interactive reports and editable graphics are provided.
♦ Personalized Interactive Bioinformatic Graphic Tools
The personalized bioinformatics plotting tool provides interactive graphic design for users. Several small analysis tools are also available, covering batch design, batch correction, data extraction, statistics, quality control, differential analysis, clustering analysis, pathway analysis, immune infiltration analysis, and more.
♦ Multi-omics Targeted Analysis
Multi-omics joint analysis includes scientific analysis of proteomics, metabolomics, transcriptomics, and other data, as well as survival analysis, correlation analysis, WGCNA functional module analysis, PPI protein interaction networks, targeted protein validation, and more.
♦ Precise machine learning models with multiple parameter choices
Precise machine learning models with a variety of parameter options are used to establish models using RF, SVM, GLM, LASSO, and other machine learning methods to classify and predict features and samples for molecular typing in clinical problems. Assistive diagnostic reports are provided.
♦ Professional user’s manual and report interpretation
Detailed glossary explanations and parameter setting guides are provided for each process in the cloud platform, along with professional report interpretation.
