Örebro Studies in Medicine 222 I
ÖREBRO 2020 2020SU
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sukithar kochappi rajan received his Master of Science degree in Biomedicine from University of Skövde, Sweden, in 2011. After working as a Bioinformatician at different academic facilities, he joined the Functional Bio-informatics Group at Örebro University as a PhD student in 2016.
Human microbiota plays an important role in maintaining host health influencing vital biological functions. Exploring and characteri-sing the gut microbiota composition and function have been exponentially growing ever since the advent of next generation sequencing technologies. However, the abundance of available methods and prediction tools make the methods selection more troublesome. This leaves the researcher to make an informed decision on selecting a range of aspects concerning metagenome analysis like, sequencing depth, classification methods, reference sequence databases, prediction tools etc.
The influence of next generation sequencing has immensely helped in making extensive findings regarding composition and function using faecal microbiota, which plays a prominent role in modern medical research. In general, this thesis suggests the need for carefully selecting and validating prediction tools and methods for gut microbiome analysis. In conclusion, this thesis compares selected classification methods at different sequencing depths, along with validating methods and prediction tools; proposing a harmonized and multi-level ~omics analysis to better understand the host-microbe interaction.
issn 1652-4063 isbn 978-91-7529-357-8
