Sökning: "bioinformatics for proteomics"

Visar resultat 1 - 5 av 71 avhandlingar innehållade orden bioinformatics for proteomics.

1. 1. Grid and High-Performance Computing for Applied Bioinformatics

   Författare :Jorge Andrade; Jacob Odeberg; Luciano Milanesi; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Grid computing; bioinformatics; genomics; proteomics; Bioinformatics; Bioinformatik;

   Sammanfattning : The beginning of the twenty-first century has been characterized by an explosion of biological information. The avalanche of data grows daily and arises as a consequence of advances in the fields of molecular biology and genomics and proteomics. LÄS MER

3. 2. Computational methods for analysis of fragmented sequence data

   Författare :Fredrik Boulund; Göteborgs universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; bioinformatics; metagenomics; proteomics; sequencing; distributed computing; bioinformatics;

   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

4. 3. Machine Learning methods in shotgun proteomics

   Författare :Patrick Truong; Lukas Käll; Peter Nilsson; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; mass spectrometry protein summarization Bayesian hierarchical modelling label-free quantification data-independent acquisition mass spectrometry; benchmark mathematical methods; transformers; computational proteomics; proteomics; bioinformatics; bert; ms2 intensity; probabilistic modelling; Biotechnology; Bioteknologi;

   Sammanfattning : As high-throughput biology experiments generate increasing amounts of data, the field is naturally turning to data-driven methods for the analysis and extraction of novel insights. These insights into biological systems are crucial for understanding disease progression, drug targets, treatment development, and diagnostics methods, ultimately leading to improving human health and well-being, as well as, deeper insight into cellular biology. LÄS MER

5. 4. A multivariate approach to computational molecular biology

   Författare :Fredrik Pettersson; Michael Sjöström; Umeå universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; PLS; PCA; biomarker; Drosophila; SNP; linkage; disequilibrium; bioinformatics; computational; molecular; biology; genomics; microarray; SELDI; proteomics; Bioinformatics; Bioinformatik;

   Sammanfattning : This thesis describes the application of multivariate methods in analyses of genomic DNA sequences, gene expression and protein synthesis, which represent each of the steps in the central dogma of biology. The recent finalisation of large sequencing projects has given us a definable core of genetic data and large-scale methods for the dynamic quantification of gene expression and protein synthesis. LÄS MER

7. 5. Development of Computational Methods for Cancer Research: Strategies for closing the feedback loop in omics workflows

   Författare :Ufuk Kirik; Institutionen för immunteknologi; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; cancer; proteome profiling; bioinformatics; pathway analysis; mass spectrometry; Quantitative proteomics;

   Sammanfattning : As the ultimate workhorses of the living things, proteins undergo significant regulatory activity throughout the lifetime of a cell or an organism. Many complex diseases effect the protein composition, expression or modification in the cells or tissues they arise in. LÄS MER