Computational methodologies and modeling play an increasing role for investigating mechanisms, and for diagnosis and therapy of human diseases. This progress gave rice to computational medicine, an interdisciplinary field at the interface of computer science and medicine. The main focus of computational medicine lies in the development of data analysis methods and mathematical modeling and computational simulation techniques specifically addressing medical problems. In this book we present a number of computational medicine topics spanning several scales: from molecular to cell to organ and…mehr
Computational methodologies and modeling play an increasing role for investigating mechanisms, and for diagnosis and therapy of human diseases. This progress gave rice to computational medicine, an interdisciplinary field at the interface of computer science and medicine. The main focus of computational medicine lies in the development of data analysis methods and mathematical modeling and computational simulation techniques specifically addressing medical problems. In this book we present a number of computational medicine topics spanning several scales: from molecular to cell to organ and organism. First, state-of-the-art IT infrastructure for biomedical research is presented. Then four hierarchical scales are shown: 1) At the molecular level tools are reviewed for the analysis of genome variations, gene expression data, protein sequence data, proteomics, metabolomics, and 3D structural data; 2) At the cellular level approaches in oncology and artherosclerosis are highlighted; 3) At the organ level computational anatomy tools are described; and 4) at the organism level multi-scale modeling approach with special focus on oncology is presented.
Artikelnr. des Verlages: 80083590, 978-3-7091-0946-5
2012
Seitenzahl: 216
Erscheinungstermin: 19. September 2012
Englisch
Abmessung: 260mm x 183mm x 17mm
Gewicht: 636g
ISBN-13: 9783709109465
ISBN-10: 3709109469
Artikelnr.: 33826105
Autorenporträt
W. Wolfgang Fleischhacker ist Facharzt für Psychiatrie und medizinische Psychotherapie. Er hat in Innsbruck studiert und wurde nach einem Forschungsaufenthalt in den USA 1983 als Professor an die Abteilung für Biologische Psychiatrie in Innsbruck berufen, seit 2008 ist er Geschäftsführender Direktor des Departments für Psychiatrie und Psychotherapie an der Medizinischen Universität Innsbruck.Hartmann Hinterhuber ist emeritierter Professor für Psychiatrie an der Medizinischen Universität Innsbruck. Nach seinem Studium in Innsbruck und Padua absolvierte er seine Facharztausbildung in Bologna (Italien). Von 1983 bis 2008 war er Direktor der Univ.-Klinik für Psychiatrie Innsbruck. Derzeit ist er Leiter einer großen sozialpsychiatrischen Institution.Hartmann Hinterhuber ist emeritierter Professor für Psychiatrie an der Medizinischen Universität Innsbruck. Nach seinem Studium in Innsbruck und Padua absolvierte er seine Facharztausbildung in Bologna (Italien). Von 1983 bis 2008 war er Direktor der Univ.-Klinik für Psychiatrie Innsbruck. Derzeit ist er Leiter einer großen sozialpsychiatrischen Institution.
Inhaltsangabe
1. Bioinformatics tools for the search of disease-associated variations. Stefan Coassin, Anita Kloss-Brandstätter, Florian Kronenberg.- 2. Cloud computing: bringing computational power to medical genetics. Lukas Forer, Sebastian Schönherr, Hansi Weißensteiner, Günther Specht, Florian Kronenberg, Anita Kloss-Brandstätter.- 3. High-throughput characterization and comparison of microbial communities. Bettina Halwachs, Gregor Gorkiewicz, Gerhard G. Thallinger.- 4. Microarray Meta-Analysis: From Data to Expression to Biological Relationships. Julia Feichtinger, Gerhard G. Thallinger, Ramsay J. McFarlane, Lee Larcombe.- 5. Analysis of labeled quantitative mass spectrometry proteomics data. Florian Breitwieser, Jacques Colinge.- 6. Lipidomics, Mass Spectrometry and Bioinformatics. Jürgen Hartler, Harald C. Köfeler, Christopher J.O. Baker, Ravi Tharakan, Gerhard G. Thallinger.- 7. Protein sequence-structure-function-network links discoveries with the ANNOTATOR software suite: Application to ELYS/Mel-28analysis. Georg Schneider, Westley Sherman, Durga Kuchibhatla, Ooi Hong Sain, Fernanda L. Sirota, Sebastian Maurer-Stroh, Birgit Eisenhaber, Frank Eisenhaber.- 8. 3D structure and drug design. Kristina Djinovic-Carugo, Oliviero Carugo.- 9. Integrating biomolecular and clinical data for cancer research: concepts and challenges. Pornpimol Charoentong, Hubert Hackl, Bernhard Mlecnik, Gabriela Bindea, Jerome Galon, Zlatko Trajanoski.- 10. Applied data mining: from biomarker discovery to decision support systems. Melanie Osl, Michael Netzer, S. Dreiseitl, Christian Baumgartner.- 11. Network-based methods for computational diagnostics by means of R. Laurin A.J. Müller, Mathias Dehmer, Frank Emmert-Streib.
1. Bioinformatics tools for the search of disease-associated variations. Stefan Coassin, Anita Kloss-Brandstätter, Florian Kronenberg.- 2. Cloud computing: bringing computational power to medical genetics. Lukas Forer, Sebastian Schönherr, Hansi Weißensteiner, Günther Specht, Florian Kronenberg, Anita Kloss-Brandstätter.- 3. High-throughput characterization and comparison of microbial communities. Bettina Halwachs, Gregor Gorkiewicz, Gerhard G. Thallinger.- 4. Microarray Meta-Analysis: From Data to Expression to Biological Relationships. Julia Feichtinger, Gerhard G. Thallinger, Ramsay J. McFarlane, Lee Larcombe.- 5. Analysis of labeled quantitative mass spectrometry proteomics data. Florian Breitwieser, Jacques Colinge.- 6. Lipidomics, Mass Spectrometry and Bioinformatics. Jürgen Hartler, Harald C. Köfeler, Christopher J.O. Baker, Ravi Tharakan, Gerhard G. Thallinger.- 7. Protein sequence-structure-function-network links discoveries with the ANNOTATOR software suite: Application to ELYS/Mel-28analysis. Georg Schneider, Westley Sherman, Durga Kuchibhatla, Ooi Hong Sain, Fernanda L. Sirota, Sebastian Maurer-Stroh, Birgit Eisenhaber, Frank Eisenhaber.- 8. 3D structure and drug design. Kristina Djinovic-Carugo, Oliviero Carugo.- 9. Integrating biomolecular and clinical data for cancer research: concepts and challenges. Pornpimol Charoentong, Hubert Hackl, Bernhard Mlecnik, Gabriela Bindea, Jerome Galon, Zlatko Trajanoski.- 10. Applied data mining: from biomarker discovery to decision support systems. Melanie Osl, Michael Netzer, S. Dreiseitl, Christian Baumgartner.- 11. Network-based methods for computational diagnostics by means of R. Laurin A.J. Müller, Mathias Dehmer, Frank Emmert-Streib.
1. Bioinformatics tools for the search of disease-associated variations. Stefan Coassin, Anita Kloss-Brandstätter, Florian Kronenberg.- 2. Cloud computing: bringing computational power to medical genetics. Lukas Forer, Sebastian Schönherr, Hansi Weißensteiner, Günther Specht, Florian Kronenberg, Anita Kloss-Brandstätter.- 3. High-throughput characterization and comparison of microbial communities. Bettina Halwachs, Gregor Gorkiewicz, Gerhard G. Thallinger.- 4. Microarray Meta-Analysis: From Data to Expression to Biological Relationships. Julia Feichtinger, Gerhard G. Thallinger, Ramsay J. McFarlane, Lee Larcombe.- 5. Analysis of labeled quantitative mass spectrometry proteomics data. Florian Breitwieser, Jacques Colinge.- 6. Lipidomics, Mass Spectrometry and Bioinformatics. Jürgen Hartler, Harald C. Köfeler, Christopher J.O. Baker, Ravi Tharakan, Gerhard G. Thallinger.- 7. Protein sequence-structure-function-network links discoveries with the ANNOTATOR software suite: Application to ELYS/Mel-28analysis. Georg Schneider, Westley Sherman, Durga Kuchibhatla, Ooi Hong Sain, Fernanda L. Sirota, Sebastian Maurer-Stroh, Birgit Eisenhaber, Frank Eisenhaber.- 8. 3D structure and drug design. Kristina Djinovic-Carugo, Oliviero Carugo.- 9. Integrating biomolecular and clinical data for cancer research: concepts and challenges. Pornpimol Charoentong, Hubert Hackl, Bernhard Mlecnik, Gabriela Bindea, Jerome Galon, Zlatko Trajanoski.- 10. Applied data mining: from biomarker discovery to decision support systems. Melanie Osl, Michael Netzer, S. Dreiseitl, Christian Baumgartner.- 11. Network-based methods for computational diagnostics by means of R. Laurin A.J. Müller, Mathias Dehmer, Frank Emmert-Streib.
1. Bioinformatics tools for the search of disease-associated variations. Stefan Coassin, Anita Kloss-Brandstätter, Florian Kronenberg.- 2. Cloud computing: bringing computational power to medical genetics. Lukas Forer, Sebastian Schönherr, Hansi Weißensteiner, Günther Specht, Florian Kronenberg, Anita Kloss-Brandstätter.- 3. High-throughput characterization and comparison of microbial communities. Bettina Halwachs, Gregor Gorkiewicz, Gerhard G. Thallinger.- 4. Microarray Meta-Analysis: From Data to Expression to Biological Relationships. Julia Feichtinger, Gerhard G. Thallinger, Ramsay J. McFarlane, Lee Larcombe.- 5. Analysis of labeled quantitative mass spectrometry proteomics data. Florian Breitwieser, Jacques Colinge.- 6. Lipidomics, Mass Spectrometry and Bioinformatics. Jürgen Hartler, Harald C. Köfeler, Christopher J.O. Baker, Ravi Tharakan, Gerhard G. Thallinger.- 7. Protein sequence-structure-function-network links discoveries with the ANNOTATOR software suite: Application to ELYS/Mel-28analysis. Georg Schneider, Westley Sherman, Durga Kuchibhatla, Ooi Hong Sain, Fernanda L. Sirota, Sebastian Maurer-Stroh, Birgit Eisenhaber, Frank Eisenhaber.- 8. 3D structure and drug design. Kristina Djinovic-Carugo, Oliviero Carugo.- 9. Integrating biomolecular and clinical data for cancer research: concepts and challenges. Pornpimol Charoentong, Hubert Hackl, Bernhard Mlecnik, Gabriela Bindea, Jerome Galon, Zlatko Trajanoski.- 10. Applied data mining: from biomarker discovery to decision support systems. Melanie Osl, Michael Netzer, S. Dreiseitl, Christian Baumgartner.- 11. Network-based methods for computational diagnostics by means of R. Laurin A.J. Müller, Mathias Dehmer, Frank Emmert-Streib.
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