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Live: Introducing Metabolon’s Integrated Bioinformatics Platform 

LIVE WEBINAR

Live: Introducing Metabolon’s Integrated Bioinformatics Platform

"Integrated

Access to large volumes of high-quality biological data has changed the scope and potential for all life science research.

While data generation is becoming easier to attain, achieving data insights remains an industry-wide challenge. When the cost of failure can be billions of dollars in investment, and delays can impact the development of life-saving drugs by years, choosing a bioinformatics solution becomes a critical consideration within the design of your study.

Some standalone bioinformatics tools are available to support data analysis and visualization. While they can help to assist in transforming large amounts of data into biological insights, they are limited in features and/or require an advanced knowledge of coding languages to truly derive value from your time and effort.

So, how can scientists integrate their data with bioinformatics to achieve their research objectives quickly and confidently?

In this webinar, Heino Heyman, Ph.D. will unveil Metabolon’s new Integrated Bioinformatics Platform and demonstrate the power and control it puts into every researcher’s hands.

In this webinar you will learn:

    • Go Deeper: Learn how Metabolon’s new Integrated Bioinformatics Platform can enrich your findings and isolate significant and associated analytes across a vast library of curated disease and analyte pathways.
    • Endless Visualization: Explore how you can conduct comparative and correlative analysis using an array of unique visualization tools, from PCA, PLSDA, and volcano plots to clustering, heatmaps, pathways, and many more.
    • Biomarker Lenses™: Apply advanced analytical filters and investigate your data faster with Biomarker Lenses™; use pre-validated disease lenses or customize your own lens to support bridging hypotheses across multiple projects.
    • Cloud Collaboration: Effortlessly collaborate with your peers anywhere in the world with bioinformatics in the cloud.
    • The future of bioinformatics: Learn how multiomics projects can benefit from the available features in the platform, today.

Metabolon’s new Integrated Bioinformatics Platform reduces the complexity of big data and accelerates time to insights. Join us and explore how Metabolon can elevate your research objectives, today.

Please note: The webinar will be open for attendees to submit questions. All answers will be directed to attendees after the webinar.

Program

Time
Presenter
Title/Abstract
12:30 – 12:35 ET
Heino Heyman, Ph.D.
Introductions
12:35 – 12:50 ET
Heino Heyman, Ph.D.
Introducing Metabolon’s Integrated Bioinformatics Platform – Overview, Features, Tools, and Benefits
12:50 – 13:10 ET
Joey Gardner, Ph.D.
Demonstration - Biomarker Lenses™ Overview
Demonstration - Pathway Analysis Overview
13:10 – 13:35 ET
Heino Heyman, Ph.D.
Underpinning Our Bioinformatics Platform – Metabolon’s Technology and Analytical Services
13:35 – 14:00 ET
Heino Heyman, Ph.D.
Software Resources
How to Request Demo Access
Closing Remarks

Speakers

K
L

Heino Heyman, Ph.D.

K
L

Joseph Gardner, Ph.D.

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References

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8. O’Connor, L.E., et al., Metabolomic Profiling of an Ultraprocessed Dietary Pattern in a Domiciled Randomized Controlled Crossover Feeding Trial. J Nutr, 2023. 153(8): p. 2181-2192.

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17. Maekawa, H., et al., SGLT2 inhibition protects kidney function by SAM-dependent epigenetic repression of inflammatory genes under metabolic stress. J Clin Invest, 2025. 135(19).

18. Wu, D., et al., Integrated screens reveal that guanine nucleotide depletion, which is irreversible via targeting IMPDH2, inhibits pancreatic cancer and potentiates KRAS inhibition. Gut, 2026.

19. Schwerdtfeger, L.A., et al., Gut microbiota and metabolites are linked to disease progression in multiple sclerosis. Cell Rep Med, 2025. 6(4): p. 102055.

20. Wu, H., et al., Microbiome-metabolome dynamics associated with impaired glucose control and responses to lifestyle changes. Nat Med, 2025. 31(7): p. 2222-2231.

21. Jacobs, J.P., et al., Cognitive behavioral therapy for irritable bowel syndrome induces bidirectional alterations in the brain-gut-microbiome axis associated with gastrointestinal symptom improvement. Microbiome, 2021. 9(1): p. 236.

22. Pietzner, M., et al., Plasma metabolites to profile pathways in noncommunicable disease multimorbidity. Nat Med, 2021. 27(3): p. 471-479.

23. Faquih, T.O., et al., Robust Metabolomic Age Prediction Based on a Wide Selection of Metabolites. J Gerontol A Biol Sci Med Sci, 2025. 80(3).

24. Scherer, N., et al., Coupling metabolomics and exome sequencing reveals graded effects of rare damaging heterozygous variants on gene function and human traits. Nat Genet, 2025. 57(1): p. 193-205.

25. Holmes, Z.C., et al., Untargeted metabolomic analysis of human milk from healthy mothers reveals drivers of metabolite variability. Sci Rep, 2024. 14(1): p. 20827.

26. Titz, B., et al., Implications of Ocular Confounding Factors for Aqueous Humor Proteomic and Metabolomic Analyses in Retinal Diseases. Transl Vis Sci Technol, 2024. 13(6): p. 17.

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