Search for dissertations about: "bioinformatics and databases"

Showing result 1 - 5 of 27 swedish dissertations containing the words bioinformatics and databases.

  2. 1. Uncovering biomarkers and molecular heterogeneity of complex diseases : Utilizing the power of Data Science

    Author : Sara Younes; Linda Holmfeldt; Jan Komoroski; Aedin Culhane; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Complex Disease; Cancer; Autoimmune diseases; Acute Myeloid Leukemia; Systemic Lupus Erythematosus; Bioinformatics; Machine Learning; Data Science; Statistical Analysis; Bioinformatics; Bioinformatik; Computer Science; Datavetenskap;

    Abstract : Uncovering causal drivers of complex diseases is yet a difficult challenge. Unlike single-gene disorders complex diseases are heterogeneous and are caused by a combination of genetic, environmental, and lifestyle factors which complicates the identification of patient subgroups and the disease causal drivers. READ MORE

  4. 2. Improved Neuropeptide Identification : Bioinformatics and Mass Spectrometry

    Author : Maria Fälth Savitski; Per Andrén; David Fenyö; Per Svenningsson; Ronald Beavis; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; bioinformatics; neuropepides; database; peptide identification; peptide fragmentation; mass spectrometry; tandem mass spectromerty; Bioinformatics; Bioinformatik;

    Abstract : Bioinformatic methods were developed for improved identification of endogenous peptides using mass spectrometry. As a framework for these methods, a database for endogenous peptides, SwePep, was created. It was designed for storing information about endogenous peptides including tandem mass spectra. READ MORE

  5. 3. Genetic Cartography at Massively Parallel Scale

    Author : Johan Dahlberg; Ann-Christine Syvänen; Adam Ameur; Michael C. Zody; Uppsala universitet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Acute Lymphoblastic Leukemia ALL ; RNA-Sequencing; Bioinformatics; Pooling; Whole Genome Sequencing; Medicinsk genetik; Medical Genetics; Bioinformatics; Bioinformatik;

    Abstract : Massively parallel sequencing (MPS) is revolutionizing genomics. In this work we use, refine, and develop new tools for the discipline.MPS has led to the discovery of multiple novel subtypes in Acute Lymphoblastic Leukemia (ALL). In Study I we screen for fusion genes in 134 pediatric ALL patients, including patients without an assigned subtype. READ MORE

  6. 4. Molecular methods for microbial ecology : Developments, applications and results

    Author : Lucas Sinclair; Alexander Eiler; Josh Neufeld; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; bioinformatics; microbiology; metagenomics; ecology; metabolism; Bioinformatik; Bioinformatics;

    Abstract : Recent developments in DNA sequencing technology allow the study of microbial ecology at unmatched detail. To fully embrace this revolution, an important avenue of research is the development of bioinformatic tools that enable scientists to leverage and manipulate the exceedingly large amounts of data produced. READ MORE

  7. 5. Bioclipse : Integration of Data and Software in the Life Sciences

    Author : Ola Spjuth; Jarl Wikberg; Mark Wilkinsson; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Bioclipse; integration; life sciences; bioinformatics; cheminformatics; chemoinformatics; eclipse; rich client; xmpp; qsar-ml; web service; standard; ontology; Bioinformatics; Bioinformatik;

    Abstract : New high throughput experimental techniques have turned the life sciences into a data-intensive field. Scientists are faced with new types of problems, such as managing voluminous sources of information, integrating heterogeneous data, and applying the proper analysis algorithms; all to end up with reliable conclusions. READ MORE