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Omics approaches and large-scale data analysis in ageing research 2

Part 2 of 2
Published on March 29, 2017   19 min

Other Talks in the Series: Aging

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0:00
This is João Pedro de Magalhães from the University of Liverpool. This is the second part of my lecture on Omic Approaches and Large-Scale Data Analysis in Aging Research. In the first part, I talked about the different technologies and some of their applications. And in this second part, I will focus on data integration and how looking at protein and gene interactions, in particular in the context of networks and systems biology can help reduce the complexity of the data and lead to new insights.
0:34
So I've mentioned a number of the high-throughput technologies and the types of data that result from it. I briefly mentioned data analysis already, but this is really a big topic. And another approach is to integrate different types of data and analyze different types of data as a whole. So I'll give a few examples now and an overview of approaches used in data integration and in particular in trying to look at gene and protein interactions at the level of networks and how we can use that information to gain insights.
1:09
So at the level of age-related changes, one of the projects that we've involved is Digital Ageing Atlas, and this is a website, this is a data integration and visualization platform for age-related changes at different biological levels. That is to say molecular levels, i.e., gene expression changes, epigenetic changes, protein changes, physiological changes, pathological changes, functional changes, etcetera. So this is an example of how it is possible to integrate data to ultimately, we hope, gain insights on processes occurring during age-related changes.

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