Sökning: "Omics data"
Visar resultat 21 - 25 av 79 avhandlingar innehållade orden Omics data.
21. Integrative omics data analysis to discover novel signatures in complex diseases
Sammanfattning : Apart from diseases caused by the defect of a single gene, most diseases are highly complex and are usually caused by a combination of biological and environmental factors. In the biological context, cellular processes are often tightly connected across molecular layers of the central dogma of biology, and the examination of a single layer would not be sufficient to address disease pathology, therefore, conclusions drawn can be limited. LÄS MER
22. Genetic landscape of multiple sclerosis susceptibility by leveraging multi-omics data
Sammanfattning : The main objective of the research studies presented in this thesis is to study the genetic variants and the expression of genes that relate to Multiple Sclerosis (MS). MS is a polygenic disease with HLA-DRB1*15:01 allele as a strong risk factor. Currently there are more than 200 non-HLA regions identified for MS. LÄS MER
23. SYSBIOMICS of Aspergilli: SYStems Biology, BIoinformatics and OMICS analysis of Aspergilli cell factories
Sammanfattning : Aspergilli represent a group of filamentous fungi that plays a key role in industrialbiotechnology, and as human, animal and plant pathogens. Here three Aspergillus species,namely Aspergillus oryzae, Aspergillus niger and Aspergillus nidulans are considered. LÄS MER
24. Kidney diseases : insights from omics approaches
Sammanfattning : Chronic kidney diseases (CKDs) affects about 11-15% of adults worldwide. When it progresses to the end-stage renal disease (ESRD), there is no effective medication for cure, the only treatment being chronic dialysis or kidney transplantation. LÄS MER
25. Multi-omics investigation into bacterial evolution
Sammanfattning : The focus of this thesis is the investigation of the evolution and cellular processes of Tuwongella immobilis and Apilactobacillus kunkeei, two bacterial species with different levels of genomic and cellular complexity, using a multi-omics approach.In the first study we examined the proteome of T. LÄS MER