Sökning: "Bioinformatik och systembiologi"
Visar resultat 31 - 35 av 250 avhandlingar innehållade orden Bioinformatik och systembiologi.
31. Genetic Predisposition to Sporadic and Familial Multiple Myeloma
Sammanfattning : Multiple Myeloma (MM) is the second most common hematological malignancy. It is defined by an uncontrolled growth of plasma cells, usually in the bone marrow. Clinically it is complicated by hypercalcemia, renal failure, anaemia, and bone pain. LÄS MER
32. The art of transcriptome reconstruction : with applications in Picea abies (L.) H. Karst
Sammanfattning : Transcriptome reconstruction is an important component in the bioinformatical part of transcriptome studies. When a reference genome is missing, highly fragmented or incomplete, a de novo transcriptome assembly is the transcriptome reconstruction approach of choice, since in such situations, a simple alignment (or mapping) would not necessarily give all theinformation concerning splice junctions, isoforms or even the full extent of the gene. LÄS MER
33. Mapping and functional characterization of candidate genes and mutations for chicken growth : an approach combining computational genetics and bioinformatics
Sammanfattning : Knowledge of the genetics related to growth is important for breeding chickens with the desired traits of rapid and efficient growth. A long-term selection experiment in the domestic chicken (Gallus gallus) has resulted in two highly divergent lines selected for juvenile body weight. LÄS MER
34. Analysis of large-scale metagenomic data
Sammanfattning : The topic of this thesis is the analysis of large data sets of DNA sequence data produced from modern high-throughput DNA sequencing machines. Using such machines to sequence the genetic content of a microbial community produces a metagenome. This thesis comprises three research papers, all connected to the study of large metagenomic data sets. LÄS MER
35. Computational methods for analysis of fragmented sequence data
Sammanfattning : Recent developments in genomic and proteomic sequencing technologies have revolutionized research in life sciences, providing new opportunities for the study of biological systems. However, modern sequence data sets are large, diverse, and heavily fragmented, which presents new challenges for their analysis and interpretation. LÄS MER