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Analysis software(4. Data Analysis) - List of Manufacturers, Suppliers, Companies and Products

Analysis software Product List

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Wild Fusion Bioinformatics Comprehensive Catalog

Wild Fusion Bioinformatics Comprehensive Catalog

Featuring desktop analysis software that covers everything from basic genetic analysis tools to next-generation sequencing data analysis tools!

This catalog is a comprehensive introduction to the bioinformatics of World Fusion Co., Ltd., which mainly develops pharmacogenomics-related software and databases. It features a range of analysis technologies, including the desktop analysis software "CLC Genomics Workbench," which covers everything from basic gene analysis tools to next-generation sequencing data analysis tools, as well as "Biomedical Genomics Workbench" and "Metagenome@KIN." [Contents] ■ NGS Data Analysis ■ Metagenome & Metatranscriptome ■ Clinical Sequence Analysis ■ Annotations & Targets ■ Samples & Data Management *For more details, please request the materials or view the PDF data from the download section.

  • Genetic Analysis Software
  • Genome analysis contract
  • Other analysis software

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Multivariate Data Visualization and Analysis Tool BIGDAT@Analysis

Multivariate Data Visualization and Analysis Tool BIGDAT@Analysis

Visualization and analysis of big data with simple operations, without the need for specialized knowledge such as statistical analysis or multivariate analysis.

■ Benefits of Implementation 1) Data analysis by on-site experts By having experts conduct the analysis themselves, new discoveries can be made without overlooking unexpected correlations in the attributes. 2) Accelerating multivariate data analysis through visualization By visualizing the data, it becomes possible to grasp the nature of big data from a broader perspective, identify the need for preprocessing, understand the difficulty of analysis, and easily conduct multivariate data analysis along with the necessary statistical analysis processes. 3) Utilizing multivariate analysis for defect factor analysis, discovery of optimal values, and anomaly detection Multivariate analysis can be used to identify defect factors and improve yield rates, enhance performance through the discovery of favorable condition parameters, and even if complete analysis is not possible, anomaly detection can be performed by comparing with past states.

  • Business Intelligence and Data Analysis

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