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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.
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.
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,
functional changes, etcetera.
So this is an example
of how it is possible to integrate data
we hope, gain insights on processes
occurring during age-related changes.