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YouTube

Making the Most of ‘Omics Data - Manuel Mayr, King’s College London

Alan Turing Institute via YouTube

Overview

This workshop aims to inspire cross-disciplinary collaboration between cardiovascular investigators and data scientists to apply data science approaches to challenges in cardiovascular research. The workshop includes keynote lectures, expert talks on utilizing imaging, health, and 'omics data, and a forum with successful applicants sharing their experiences. The syllabus covers topics from genes to gene products, protein measurements, proteomics, clinical applications, atherosclerosis progression models, lipoproteins, and cardiovascular risk assessment. The intended audience includes researchers interested in cardiovascular data science and applying for joint research awards in this field.

Syllabus

Intro
From Genes to Gene Products
Indirect versus Direct Protein Measurements
The Human Plasma Proteome
Troponin versus Cardiac Myosin-binding Protein C
Aptamer-Based Proteomics
Application to Clinical Cohorts
Person-based Progression Model of Atherosclerosis
Lipoproteins: Apolipoprotein as Protein Component
Apolipoprotein Profiling by Mass Spectrometry
Associations with Incident Cardiovascular Disease
Cardiovascular Risk Beyond LDL Cholesterol
The cost of poor data is the illusion of knowledge
Validation by Nuclear Resonance Spectroscopy
Remnant Cholesterol and Atherosclerosis
When big data is also the right data ....
Bioinformatics Team @ Cardiovascular Proteomics Lab

Taught by

Alan Turing Institute

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