Thursday 14th, 21st and 27th September at 3pm BST/ 4pm CET/ 10am EST
Advances in high-throughput proteomic technologies are accelerating the identification and characterisation of proteins at an unprecedented scale, helping us identify new biomarkers and drug targets with the potential to revolutionise the fields of oncology and precision medicine.
Join us for our upcoming webinar series, Proteomics ONLINE, to hear from eight expert speakers in the proteomics field. Over the course of three webinars, our speakers will share case studies and highlights from recent work to illustrate how the latest developments in the world of proteomics are driving research forward.
By attending Proteomics Online, you will:
- Learn more about the latest cutting-edge methods and transformative technologies that are supporting the application of proteomics in cancer research.
- Find out how experts are now combing the power of proteomics, genomics and transcriptomics in the field of proteogenomics to deliver new precision medicine applications.
- Understand how the latest algorithms, computational approaches and AI/ML methods will allow you to generate meaningful insights from big proteomic data.
Register now for free access to all three webinars in the series, plus the chance to join extended live Q&A sessions, to level-up your understanding of proteomics in precision medicine.
See you there!
** Please note, by registering for one webinar in the series, you will automatically receive access to the subsequent webinars**
Webinar 1: Oncoproteomics as a Tool to Advance Cancer Diagnosis and Therapy
14th September at 3pm BST/ 4pm CET/ 10am EDT
Oncoproteomics is allowing scientists to study protein abundance, structure and function. This is offering new opportunities to identify novel disease biomarkers and drug targets resulting in new avenues for cancer diagnosis, treatment and monitoring.
In this webinar, you will discover how the latest proteomic methods are supporting therapeutic discovery in oncology.
- 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
Webinar 2: Harnessing Mass Spectrometry-Based Proteogenomics to Advance Precision Medicine
21st September at 3pm BST/ 4pm CET/ 10am EDT
Generating protein sequence databases tailor-made to genomic and transcriptomic data has emerged as a useful tool to identify new proteins and has enhanced our protein-level understanding of gene expression.
In this webinar, we will discuss how proteogenomics is supporting the discovery of personalised treatments for the most prevalent diseases.
- 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
28th September at 3pm BST/ 4pm CET/ 10am EDT
The latest high-throughput technologies have taken the field of proteomics to the next level. However, these state-of-the-art methods remain highly data-intensive.
In this webinar, you will learn how the latest computational approaches, including AI/ML, are supporting the analysis of big proteomic data, triggering new discoveries.
- Sequence-to-Sequence Translation from Mass Spectra to Peptides with a Transformer Model
- Wout Bittremieux, Assistant Professor, University of Antwerp
- Beyond the Genome: Using a Scalable Next-Generation Protein Sequencing Technology to Analyze the Proteome with Single Molecule Resolution and Increased Amino Acid Coverage
- 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
- Sven Degroeve, Professor of Machine Learning, University of Ghent
Register here:
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