About this event
Proteomics ONLINE
Thursday 14th, 21st and 28th September at 3pm BST / 4pm CET / 10am EDT
Next-generation sequencing has put genomics at the forefront of the precision medicine revolution, but is it time for proteomics to take centre stage?
The latest high-throughput proteomic technologies are now allowing scientists to detect, measure and characterize many disease-specific proteins which are proving useful for numerous therapeutic applications.
However, the sheer volume and complexity of the data generated presents a significant challenge for researchers in terms of effective data analysis and interpretation. We must also move on from characterizing individual proteins to whole proteoforms to unlock the full potential of proteomics in clinical research.
Tune in to Proteomics ONLINE to find out how the latest advances in proteomics (and proteogenomics) are playing a key role in precision medicine and learn how the latest computational tools and data analysis techniques will help you maximize your discoveries.
Webinar 1: Oncoproteomics as a Tool to Advance Cancer Diagnosis and Therapy. Sponsored by Somalogic.
Thursday 14th September at 3pm BST/ 4pm CET/ 10am EDT
Oncoproteomics is becoming an increasingly popular approach in cancer research as it provides valuable information regarding the identification, expression, and modification of cancer-associated proteins. This allows for the discovery of new biomarkers and treatment opportunities.
In this webinar, we will discuss the latest advances in oncoproteomics and how they will benefit patients.
Proteomics for the discovery of novel targets for KRAS mutated cancers - Samir Hanash, Professor and Head of the Proteomics Platform, MD Anderson Cancer Center
Application of proteomics within a large-scale prospective cohort to identify novel biomarkers of chronic diseases – Marc Gunter, Professor of Cancer Epidemiology and Prevention, Imperial College London
Mapping the KRAS proteoform landscape in colorectal cancer identifies truncated KRAS4B that decreases MAPK signaling - Neil Kelleher, Walter and Mary Glass Professor, Director of Northwestern Proteomics, Northwestern University
Upcoming webinars in this series:
Webinar 2: Harnessing Mass-Spectrometry-based Proteogenomics to Advance Precision Medicine
Thursday 21st September at 3pm BST/ 4pm CET/ 10am EDT
Integrating proteomics with genomic and transcriptomic data has introduced the new field of proteogenomics.
In this webinar, we will discuss how proteogenomics is increasing our molecular understanding of disease and how its application supports precision medicine.
Variant biomarker discovery using mass spectrometry-based proteogenomics – Andy Qi, Head of Mass Spectrometry Expert Group, NIH
Pan-cancer proteogenomic analyses – Chad Creighton, Professor, Baylor College of Medicine
Webinar 3: Computational Proteomics and Big Data Analysis for Protein Discovery and Characterisation. Sponsored by Quantum-SI
Thursday 28th September at 3pm BST/ 4pm CET/ 10am EDT
The latest developments in computational biology, data science and AI/ML have advanced the high-throughput characterisation of proteins which is supporting researchers in their quest to map the human proteome.
In this webinar, you will learn how the latest developments in computational proteomics will help you make sense of your proteomic data and trigger new discoveries.
Sequence-to-sequence translation from mass spectra to peptides with a transformer model - Wout Bittremieux, Assistant Professor, University of Antwerp
The Future of Proteomics: Advances in Next-generation Protein Sequencing– John Vieceli, VP, Software Informatics, Quantum-Si
Unraveling the proteome modification landscape using AI models for LC-MS/MS data analysis - Sven Degroeve, Professor of Machine Learning, University of Ghent
Hosted by
Front Line Genomics is a genomics-focused media company, with a social mission to deliver the benefits of genomics to patients faster. We organise the Festival of Genomics, digital events and webinars. We also produce reports and operate a content-rich website.