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Animal Metabolomic Data Analysis
Metabolomics data analysis methods are developing at an accelerated pace due to advancements and optimization in technology and instruments. Instrumented metabolomics data sets typically contain hundreds to thousands of variables. Changes in instrument conditions, sample heterogeneity, or instrument errors may lead to inaccurate identification of metabolites, poor quantification, and ultimately the introduction of statistical errors. These factors can significantly impact the efficiency and credibility of the final data analysis. BioVenic develops data analysis solutions for converting metabolomic detection data into meaningful biological information. We specialize in developing customized software solutions for metabolomic data analysis, tailored to meet the specific project goals of our clients. This includes a variety of tools for integrated analysis, as well as the development of specialized data analysis software. Examples of these tools include in silico prediction of metabolite structures, pathway visualization, and qualitative analysis of metabolomic metabolic flux data. BioVenic is committed to eliminating the tedious process for customers to explore suitable methods. We comprehensively design a workflow that combines hardware and software and conduct strict quality control before delivery to ensure that the data generated by the metabolomics analysis platform is reliable, trustworthy, and reproducible.
Fig.1 Schematic Diagram of an Analysis of Metabolomics Data from Cells. 1
Animal Metabolomic Data Analysis Services
- Data Preprocessing
The metabolomics data analysis solution preprocesses the original detection signal data using specialized software to achieve quantitative analysis of metabolic compounds in animal samples. BioVenic offers data preprocessing services that encompass noise reduction, retention time correction, peak detection, and integration, as well as chromatographic comparison across various detection platforms.
- Data Analysis
BioVenic provides animal sample testing data analysis services that are performed under strict quality control (QC). This includes isolating test data, balancing deviations of analytical means, and signal correction. With the support of an in-house database, we combine mass spectrometric peak data with authentic standard data to identify target compounds. We enable our customers to perform diverse statistical analyses of metabolomic data according to their project needs. Our data analysis process combines the use of a variety of advanced statistical techniques and big data software to assist researchers in solving the challenges of analyzing animal metabolomics data from various perspectives. Pathway and enrichment analyses included in the solution link screened metabolites to their biological context, enabling the exploration of functionally relevant metabolites and identification of pathways with a significant impact on specific biological processes.
- Data Interpretation
BioVenic has launched a solution for integrating animal metabolomics data in order to meet the demands of researchers for multi-omics data integration and analysis. BioVenic's integrated multi-omics platform provides a reliable and user-friendly overview of metabolic changes. It also offers pioneering network visualization tools to present customers with comprehensive and easily understandable analysis results. By integrating metabolomics with proteomics, genomics, microbiomes, and other data, we assist scientific researchers in obtaining comprehensive information about animal life and physiological phenomena.
Flow Chart of Animal Metabolomic Data Analysis Service
Animal Metabolomics Analysis
| Methods | Advantages | Limitations |
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| Univariate Analysis |
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| Multivariate Analysis |
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| Metabolome Analysis |
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Why Choose Us?
One-stop customized complete software development service for animal metabolomics data analysis.
Comprehensive analysis from multiple perspectives to fully meet the diverse scientific research needs of customers.
A proven software portfolio that includes solutions for data mining, statistical analysis, metabolite identification, pathway visualization and qualitative metabolomics metabolic flow data analysis.
Visualize the vast information contained in animal metabolomics data and deliver easy-to-understand analysis reports.
BioVenic provides comprehensive data analysis services for scientific researchers who are conducting animal metabolomics research, realizing the conversion of large amounts of data into valuable information. With standardized data analysis procedures including metabolite identification, pathway analysis and rich experience in optimization design, we are committed to helping you easily solve data processing problems in animal-related research and obtain high-quality experimental results. Please contact us and custom an adapted data analysis solution.
Reference
- Axton, Elizabeth Rose, et al. "Metabolomics-driven elucidation of cellular nitrate tolerance reveals ascorbic acid prevents nitroglycerin-induced inactivation of xanthine oxidase." Frontiers in pharmacology 9 (2018): 1085.