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This dissertation by Fredrik Barrenäs explores the use of bioinformatics to identify disease-associated pathways through network-based analysis. It addresses the complex nature of common diseases caused by interacting genes, utilizing high-throughput methods like mRNA expression microarrays and genome-wide association studies (GWAS) to detect disease-associated genes. The study focuses on network properties of these genes and their organization into protein-protein interaction networks to identify disease-causing pathways. Seasonal allergic rhinitis is used as a model disease to validate the findings. The work aims to improve understanding of disease mechanisms and identify potential treatment targets or biomarkers for personalized medicine.
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This dissertation by Fredrik Lysholm focuses on the development and improvement of bioinformatic methods for characterizing viral pathogens in metagenomic samples. Recognizing the limitations of studying only known viruses, the research emphasizes the importance of broad exploration of viral flora through viral metagenomics, facilitated by reduced sequencing costs and shotgun sequencing techniques. Key contributions include an automated analysis pipeline for metagenomic data and novel alignment algorithms for 454 sequencing data. These advancements enable rapid and comprehensive analysis of samples, aiding in the detection of potential pathogens. The research has been applied to samples from children with severe respiratory infections and patients with chronic fatigue syndrome, revealing both known and novel viruses. The work targets researchers in virology and bioinformatics, aiming to enhance understanding and management of viral diseases.
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With the arrival of genomics and genome sequencing projects, biology has been transformed into an incredibly data-rich science. The vast amount of information generated has made computational analysis critical and has increased demand for skilled bioinformaticians. Designed for biologists without previous programming experience, this textbook provides a hands-on introduction to Unix, Perl and other tools used in sequence bioinformatics. Relevant biological topics are used throughout the book and are combined with practical bioinformatics examples, leading students through the process from biological problem to computational solution. All of the Perl scripts, sequence and database files used in the book are available for download at the accompanying website, allowing the reader to easily follow each example using their own computer. Programming examples are kept at an introductory level, avoiding complex mathematics that students often find daunting. The book demonstrates that even simple programs can provide powerful solutions to many complex bioinformatics problems.
Genomics --- Bioinformatics. --- Data processing.
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This book is divided into different research areas relevant in Bioinformatics such as biological networks, next generation sequencing, high performance computing, molecular modeling, structural bioinformatics, molecular modeling and intelligent data analysis. Each book section introduces the basic concepts and then explains its application to problems of great relevance, so both novice and expert readers can benefit from the information and research works presented here.
Structural design --- Mathematical models. --- Medical bioinformatics
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Computational biology --- Computational biology. --- Biology --- Bioinformatics --- Biología --- Ciencias --- Biology - General
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This volume presents an overview of recent developments in systems biology and their applications in cancer-related research. The ongoing advances in our understanding of genomics and proteomics, coupled with the development of new and more robust tools, have led to an emphasis on analyzing biological systems at multiple levels. Thus, there is a need to integrate different types of data into a comprehensive "systems" view. Written by active researchers in the emerging areas, this book gives senior undergraduate students, graduate students and new researchers an idea of where the frontiers of
Systems biology. --- Computational biology --- Bioinformatics --- Biological systems --- Molecular biology
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Science --- Bioinformatics --- Science and technology libraries --- Bioinformatics. --- Science and technology libraries. --- Science --- Electronic Data Processing. --- Medical Informatics. --- Libraries, Medical. --- Data processing --- Data processing. --- Sciences - General
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Science --- Bioinformatics --- Science and technology libraries --- Bioinformatics. --- Science and technology libraries. --- Science --- Electronic Data Processing. --- Medical Informatics. --- Libraries, Medical. --- Sciences - General --- Data processing --- Data processing. --- Sciences - General
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