Customer training and industry webinars

MetaCore delivers high-quality biological systems content in context, giving you essential data and analytics to accelerate your scientific research. MetaCore contains sophisticated integrated pathway and network analysis for multi-omics data.

Upcoming training

A System’s Biology Approach to Understand the Mechanism of anti-PD-1 resistance
(30 min + Q&A)










Fig.1. A network showing a known molecular interactors for QBRICK, a gene frequently mutated in melanoma tumors of responders vs non-responders. Genes that are differentially expressed in responders vs non-responders are marked with a “halo” on the right, upper side of the molecule.


Immunologic checkpoint blockade with antibodies that target cytotoxic T lymphocyte–associated antigen 4 (CTLA-4) and the programmed cell death protein 1 pathway (PD-1/PD-L1) have demonstrated promise in a variety of malignancies. In particular, PD-1 immune checkpoint blockade provides significant clinical benefits for melanoma patients. Unfortunately, despite unprecedented efficacy of anti-PD-1 therapy for melanoma treatment, many patients fail to respond, and more concerning, some patients who demonstrate encouraging initial responses to immunotherapy can acquire resistance over time. Thus, there is now an urgent need to identify mechanisms of resistance, to predict outcome and to identify targets for combination therapy.

In this webinar, we will use MetaCore’s analytical tools and workflows to identify the processes (pathway maps, networks and biological processes) impacted by genes differentially expressed between anti-PD-1 responders and non-responders and may determine therapy response. We also will explore how genes frequently mutated in responders vs. non-responders may influence therapy sensitivity/response (Fig.1). RNA-seq data from pretreatment melanoma biopsies published by Hugo W. et. al. 1 will be used to perform the analysis.

Key learnings

  • How can I upload my transcriptomic and/or genomic data into MetaCore for analysis?
  • Which analytical tools and workflows can I use to understand mechanisms of drug response?
  • How can I connect a gene of my interest (e.g., frequently mutated gene) with observed drug resistance phenotype?


Tuesday, March 26
11am New York / 4pm Paris


Getting started with MetaCore (45 min + Q&A)

MetaCore provides access to a database of 1.8 million molecular interactions, 1600 pathway maps as well as tools to analyze “OMICS” data.

In this session you will learn how to:

  • Upload a dataset
  • Perform Pathway Map Enrichment
  • Build Networks

Join us online to learn more about MetaCore in 45 min + optional Q&A:


Tuesday, 23 April
10:30am New York / 4:30pm Paris

Recorded sessions

You can find recordings of past sessions on our YouTube channel: Clarivate Analytics Systems Biology Webinars