Fachbereich Informatik - Aktuell

03.12.2018

Disputation Sina Beier

am Mittwoch, 12. Dezember 2018, um 16:15 Uhr in Raum A104, Sand 1


Computational Analysis for Medical Research in Genomics and Metagenomics

Berichterstatter 1: Prof. Dr. Daniel H. Huson

Berichterstatter 2: Prof. Dr. Detlef Weigel

Kurze Zusammenfassung des Vortrags:
The investigation of microbes in research has been changing with the rise of environmental sequencing from a
view centered on an isolate microbe living in a laboratory setting to a broader view of microbial communities –
microbiomes - as they thrive in their natural environment. Sequencing of an isolated organism generates
essential insights and enables us to produce reference genomes and genomes annotation, which in turn let us
compare different organisms through their genomes and study the metabolic pathways they utilize.
In comparison to that, environmental sequencing does answer entirely different questions, and it does provide
us with a much better view on how microbes live in their environment, what changes they undergo based on
their interactions with their host, environment or with each other. It also enables us to study the genomes of
microbes which previously could not be cultured in isolation and provides many more new possibilities to
many different life sciences which are interested in the microbial community on earth.
One of these sciences with a significant influence on our daily lives is medicine. This work presents multiple
projects where genomics, 16S rDNA analysis and metagenomics have helped medical research to gain
insights on diverse topics and under varying conditions. To make metagenomic analysis more approachable
for a variety of users, I have developed three pipelines for the fundamental analysis of environmental data
which require minimal hands-on effort and infrastructure to run the necessary analysis. With this toolkit, I hope
to enable everyone involved in environmental data analysis to generate insights from any of their datasets,
which in turn will hopefully help to make environmental sequencing - especially metagenomics - a more
feasible choice for everyone who could profit from the possibilities and insights it can provide

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