Harnessing Visualization-Driven Omics Data Analysis

Attend our free webinar on Tuesday, November 13, 2018 to learn about visualization-driven data analysis

9 Oct 2018
Matthew Mcardle

Expert insights

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Image of Qlucore President, Carl-Johan Ivarsson
Qlucore President, Carl-Johan Ivarsson, will deliver the webinar

Visualization-driven data analysis tools can help to identify hidden patterns within big data, make it possible to accelerate the discovery process and optimize workload splits within an organization. The combination of ease of use and visualization within bioinformatics software opens new possibilities for visualization-based data analysis, and new ways of sharing analysis workloads.

In this expert webinar, we will illustrate visualization-driven data analysis with a live software demonstration, share insights driven from in-depth visual data inspection, and give examples of how your organization can benefit from such an implementation.

Qlucore President, Carl-Johan Ivarsson, will cover key points of visualization-driven omics data analysis, including:

  • Visualization-driven data analysis
  • How fast and highly interactive software drives improved results
  • How visualization can be used to easily and efficiently share results and ideas.

Who should attend:

Scientists responsible for data analysis, especially lab managers, biologists and bioinformaticians within industry and academia.

Attend the live webinar:

The live webinar will take place on Tuesday, November 13, 2018 at:

  • 16:00 GMT
  • 11:00 EST
  • 08:00 PST
  • 17:00 CET

Links

Tags

Data AnalysisData analysis hardware and software is available to make data processing straight-forward yet powerful. Data software can be used for math and stats, technical graphing and image analysis. In addition, software is available for specific data analysis of electrophoresis, densitometry, ELISA and DNA sequencing.Chem / BioinformaticsCheminformatics and bioinformatics are computational techniques used in chemistry and biology, respectively, for data acquisition, processing and storage. Cheminformatics focuses on compound information, whereas bioinformatics is mainly applied to analysis and modeling of genomics, genetic and sequencing information. Hardware and software is available for data acquisition, analysis, management and storage.Software PlatformsSoftware platforms are useful for various stages of laboratory experiments from data collection to data storage and processing. For instance lab software is available for system control, data management, data analysis and qualification / validation.Data AnalysisThe analysis of data is the process of transforming, modeling and evaluating data to discover useful information from experimental results. Big DataBig data is described as data sets that are extremely large and complex, and can be challenging to process.