Data integration in inflammatory bowel disease
The main topic of the thesis is data integration applied to inflammatory bowel disease . This disease is complex; for instance it is not currently known if the cause behind Crohn’s disease and ulcerative colitis are one and the same. There are hypothesis suggesting that the microbiome is a major factor in the disease, which together with an aberrant immune response, constitutes the dominant theory. In order to find robust relationships between the microbiome and the immune system, it is important to consider all the relevant variables that influence a disease. In this thesis we explored these relationships using data from different sequencing technologies and the observed or reported phenotype of the patients.
This thesis was carried out at the Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS) research institute and was funded by the Centro de Investigación Biomédica en Red (CIBER). The thesis was conducted at the IBD unit which is comprised of a multidisciplinary translational team of biologist, microbiologists, veterinarians, bioinformaticians, doctors and nurses (at Hospital Clínic). The leading doctor of the unit was Julian Panés whose interest in the disease made this thesis possible.
The thesis is on the doctoral programme in biomedicine at the University of Barcelona (UB). My thesis directors’ were Juanjo Lozano and Azucena Salas, my direct supervisor, who guided me as a bioinformatician and disease expert, respectively. They provided advice and guidance on how to analyze the data and on where to focus the different experiments/analyses.
This thesis, available on https://thesis.llrs.dev, is licensed under the Creative Commons Attribution 4.0 International License (CC-BY).