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ETH PHRT

Swiss Multi-Omics Center

Integrated digitization of clinical biospecimen cohorts on the molecular level

DNA | RNA | Protein | Metabolites | Lipids

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ETH PHRT

Swiss Multi-Omics Center

"Each patient's individual molecular makeup and unique characteristics will be the basis for guiding the medical decisions and restoring health."

Personalized Health and Related Technologies (PHRT) is a strategic focus area of the ETH Domain; the latter embracing key research institutions like ETHZ, EPFL, PSI, EMPA, Eawag and WSL. PHRT’s goals include improving the quality of Personalized Health and Precision Medicine by providing a choice of individual therapeutic strategies for patients. PHRT aims to support and drive transformation in Personalized Health by providing clinicians with access to ETH technologies in order to evaluate their potential contributions to clinical decision making. The PHRT research program complements infrastructure efforts undertaken by the Swiss Personalized Health Network (SPHN) and the Swiss Data Science Center (SDSC). Within the PHRT program, SMOC is an engine for multi-omics data generation, analysis, interpretation. For secure data processing and sharing, SMOC is integrated into the SPHN/BioMEdIT secure computational infrastructure.


Measure

Single entry point for digitizing your clinical cohorts at the level of DNA, RNA, Proteins, Metabolites and Lipids

Integrate

Integrated FAST track and DEEP track analysis of multiomics data

Analyze

Delivering molecular insights supporting publications and clinical decision making

Share

FAIR sharing of primary and derivative data based on ethical consent

Overview

SMOC molecular profiling platform provides robust data for research and simultaneously insights for clinicians

Clinical Stream

High quality molecular data on the DNA, RNA, Protein, Metabolite and Lipid level for gaining clinical insights

Exploratory Research Stream

Integration, visualization and analysis of omics data mapped onto biological networks and pathways

SPHN BioMedIT infrastructure integration

For data lineage tracking, secure data management, data sharing, secondary and tertiary analysis

SMOC - towards better informed treatment decisions based on molecular insights.

Features

Our Offer and Expertise

Getting the most of your clinical samples

Single entry point for integrated multi-omic analysis.

Molecular insights into clinical cohorts

Standardised and automated processing of large clinical cohorts.

Safe Data Storage and Exchange

Handling of sensitive clinical data according to established SPHN/BioMedIT guidelines.

Consultancy

We will find together the right strategy for digitizing and analyzing you clinical samples.

Feasibility study

Small scale studies for optimizing clinical cohort experimental design and generating proof of concept data.

Support with Grant and Paper writing

We will provide relevant text snippets supporting grants and publications.

Generating clinical insights from Multi-Omics data

SMOC

One entry point, three integrated centers.

Scalable production and analytics.

Genomics

CGAC

Clinical Genomic Analysis Center

  • Clinical Grade Sequencing
    (ISO 15189 accredited)
  • Whole Genome Sequencing (WGS)
  • Whole Exome Sequencing (WES)
  • RNA Sequencing (RNASeq)
  • Fast-track genomic data analysis

Proteotyping

CPAC

Clinical Proteotype Analysis Center

  • Quantitative Proteotyping

  • Proteotype analysis (DDA, DIA, PRM)
  • Post-translational modification analysis
  • Spatial proteotype analysis
  • Fast-track proteomic data analysis

Metabolomics & Lipidomics

CMAC

Clinical Metabolomics Analysis Center

  • Small molecule analysis

  • Targeted metabolomics
  • Untargeted metabolomics
  • Lipidomics
  • Fast-track metabolomic data analysis

Integrated Multi-Omic Data Interpretation

Integration, visualization, and analysis of omics data mapped onto biological networks and pathways

BioMedIT integration for data lineage tracking, data management, data sharing, secondary and tertiary analysis



SMOC — designed to meet the needs of clinical research.

People

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Dr. Sandra Goetze

SMOC Coordinator

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Dr. Keith Harshman

SMOC Co-coordinator

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Dr. Patrick Pedrioli

SMOC Data Science Coordinator

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Prof. Dr. Ioannis Xenarios (ad interim)

Scientific Coordinator CGAC

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Prof. Dr. Bernd Wollscheid

Scientific Coordinator CPAC

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Prof. Dr. Nicola Zamboni

Scientific Coordinator CMAC

Partnerships

The ETH Personalised Health and Related Technologies network

Get in touch with us.

Do you want to be part of exciting discoveries? Let's work together!