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Cancer Systems Biology, Bioinformatics and Medicine | Buch | 9789400715660 - Marcus, Frederick
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Marcus, Frederick:

Cancer Systems Biology, Bioinformatics and Medicine | Buch | 9789400715660 - libro nuevo

2011, ISBN: 9789400715660

ISBN / EAN 9789400715660. Heilweine und Kräutertränke nach Hildegard von Bingen | Buch | 9783990254202EUR 14,90. Hundetraining mit Martin Rütter | Buch | 9783440174586EUR 22,00. Seitenanz… Más…

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Cancer Systems Biology, Bioinformatics and Medicine / Research and Clinical Applications / Alfredo Cesario (u. a.) / Buch / Englisch / 2011 / Springer Netherland / EAN 9789400715660 - Cesario, Alfredo
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Cesario, Alfredo:

Cancer Systems Biology, Bioinformatics and Medicine / Research and Clinical Applications / Alfredo Cesario (u. a.) / Buch / Englisch / 2011 / Springer Netherland / EAN 9789400715660 - encuadernado, tapa blanda

2011, ISBN: 9789400715660

[ED: Gebunden], [PU: Springer Netherland], This teaching monograph on systems approaches to cancer research and clinical applications provides a unique synthesis, by world-class scientist… Más…

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Cancer Systems Biology, Bioinformatics and Medicine | Research and Clinical Applications | Alfredo Cesario (u. a.) | Buch | Englisch | 2011 | Springer Netherland | EAN 9789400715660 - Cesario, Alfredo
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Cesario, Alfredo:
Cancer Systems Biology, Bioinformatics and Medicine | Research and Clinical Applications | Alfredo Cesario (u. a.) | Buch | Englisch | 2011 | Springer Netherland | EAN 9789400715660 - encuadernado, tapa blanda

2011

ISBN: 9789400715660

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Cesario, Alfredo; Frederick B. Marcus (Eds.):
Cancer Systems Biology, Bioinformatics and Medicine. Research and Clinical Applications. - encuadernado, tapa blanda

2011, ISBN: 9400715668

[EAN: 9789400715660], [PU: Dordrecht, Springer.], INNERE MEDIZIN, XXVIII, 484 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängel… Más…

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Cesario, Alfredo und Frederick Marcus:
Cancer Systems Biology, Bioinformatics and Medicine Research and Clinical Applications 2011 - libro usado

2011, ISBN: 9789400715660

2011 Neubindung, Buchschnitt leicht verkürzt, Buchrücken, -ecken, -kanten leicht angestoßen, Ausgabe 2011 10781654/12 Versandkostenfreie Lieferung Systems Medicine,Systems Biology,Bioinfo… Más…

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Detalles del libro
Cancer Systems Biology, Bioinformatics and Medicine

This teaching monograph on systems approaches to cancer research and clinical applications provides a unique synthesis, by world-class scientists and doctors, of laboratory, computational, and clinical methods, thereby establishing the foundations for major advances not possible with current methods.  Specifically, the book: 1) Sets the stage by describing the basis of systems biology and bioinformatics approaches, and the clinical background of cancer in a systems context; 2) Summarizes the laboratory, clinical, data systems analysis and bioinformatics tools, along with infrastructure and resources required; 3) Demonstrates the application of these tools to cancer research; 4) Extends these tools and methods to clinical diagnosis, drug development and treatment applications; and 5) Finishes by exploring longer term perspectives and providing conclusions. This book reviews the state-of-the-art, and goes beyond into new applications. It is written and highly referenced as a textbook and practical guide aimed at students, academics, doctors, clinicians, industrialists and managers in cancer research and therapeutic applications. Ideally, it will set the stage for integration of available knowledge to optimize communication between basic and clinical researchers involved in the ultimate fight against cancer, whatever the field of specific interest, whatever the area of activity within translational research.

Detalles del libro - Cancer Systems Biology, Bioinformatics and Medicine


EAN (ISBN-13): 9789400715660
ISBN (ISBN-10): 9400715668
Tapa dura
Año de publicación: 2011
Editorial: Springer
484 Páginas
Peso: 0,942 kg
Idioma: Englisch

Libro en la base de datos desde 2008-06-21T03:01:15-05:00 (Mexico City)
Página de detalles modificada por última vez el 2023-06-27T11:06:55-06:00 (Mexico City)
ISBN/EAN: 9789400715660

ISBN - escritura alterna:
94-007-1566-8, 978-94-007-1566-0
Mode alterno de escritura y términos de búsqueda relacionados:
Autor del libro: alfred marcus, fred marcus, marcus santer, cesario
Título del libro: system medicine, bioinformatics, research, the biology cancer, systems biology


Datos del la editorial

Autor: Alfredo Cesario; Frederick Marcus
Título: Cancer Systems Biology, Bioinformatics and Medicine - Research and Clinical Applications
Editorial: Springer; Springer Netherland
484 Páginas
Año de publicación: 2011-08-21
Dordrecht; NL
Impreso en
Peso: 0,955 kg
Idioma: Inglés
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
POD
XXVIII, 484 p.

BB; Cancer Research; Hardcover, Softcover / Medizin/Nichtklinische Fächer; Onkologie; Verstehen; Bioinformatics; Cancer; Systems Biology; Systems Medicine; Systems Biology; Oncology; Medical Microbiology; Computational Biology/Bioinformatics; Cancer Biology; Computational and Systems Biology; Oncology; Medical Microbiology; DV-gestützte Biologie/Bioinformatik; Mikrobiologie und Virologie; BC; EA

This teaching monograph on systems approaches to cancer research and clinical applications provides a unique synthesis, by world-class scientists and doctors, of laboratory, computational, and clinical methods, thereby establishing the foundations for major advances not possible with current methods.  Specifically, the book: 1) Sets the stage by describing the basis of systems biology and bioinformatics approaches, and the clinical background of cancer in a systems context; 2) Summarizes the laboratory, clinical, data systems analysis and bioinformatics tools, along with infrastructure and resources required; 3) Demonstrates the application of these tools to cancer research; 4) Extends these tools and methods to clinical diagnosis, drug development and treatment applications; and 5) Finishes by exploring longer term perspectives and providing conclusions. This book reviews the state-of-the-art, and goes beyond into new applications. It is written and highly referenced as a textbook and practical guide aimed at students, academics, doctors, clinicians, industrialists and managers in cancer research and therapeutic applications. Ideally, it will set the stage for integration of available knowledge to optimize communication between basic and clinical researchers involved in the ultimate fight against cancer, whatever the field of specific interest, whatever the area of activity within translational research.

PART I – Introduction and background.- 1. Introduction to systems approaches to cancer.- 1.1 Cancer and systems approaches.- 1.2 Laboratory, clinical, data and educational resources.- 1.3 Bioinformatics and systems biology analysis.- 1.4 Diagnosis and treatment applications.- 1.5 Perspectives and conclusions.- 1.6 References.- 2. Cancer: clinical background and key challenges.- 2.1 Introduction.- 2.2 Pathology integration in cancer biology systems.- 2.3 Technological approaches to morphology and pathology.- 2.4 Treatments.- 2.5 Major cancers, diagnosis, disease-specific supplementary classifications, and treatment implications.- 2.6 Systems biology of cancer: key challenges for the future.- 2.7 Acknowledgements.- 2.8 References.- PART II – Laboratory, clinical, data and educational resources.- 3. Global molecular and cellular measurement technologies.- 3.1.  Introduction – the need for systems biology predictive models.- 3.2.  Sample preparation.- 3.3. Analysis of the genome.- 3.4.  Proteomics.- 3.5  Functional studies.- 3.6 Overall determining factors and future outlook.- 3.7 Acknowledgements.- 3.8 References.- 3.9 Abbreviations.-

4. Cell lines, tissue samples, model organisms, biobanks.- 4.1 Introduction.- 4.2 Human cell lines.- 4.3 Model organisms.- 4.4 Patient biobanks.- 4.5 Role of interactome maps and crucial pathways.- 4.6 Integration into systems and computational approaches.- 4.7 The future: data integration to systems-level experiments.- 4.8 References.- 5. Expression and genetic variation databases for cancer research.- 5.1 Introduction.- 5.2 Genetic variation.- 5.3 Gene expression.- 5.4 Informatics coordination by international consortia.- 5.5 References.- 6. Education and Research Infrastructures.- 6.1 The challenge.- 6.2 The actors.- 6.3 Training and education of the stakeholders.- 6.4 Organization of cancer research centres and their cross-disciplinary activities.- 6.5 Conclusion.- 6.6 Acknowledgements.- 6.7 References.- PART III – Bioinformatics and systems biology analysis.- 7. Mathematical tools in cancer signalling systems biology.- 7.1 Introduction.- 7.2 The systems approach.- 7.3 Discussion.- 7.4 Acknowledgements.- 7.5 References.- 7.6 Appendix.- 8. Computational tools for systems biology.- 8.1 Introduction.- 8.2 Standards in systems biology.- 8.3 Web Resources.- 8.4 Computational Tools.- 8.5 Visualizing networks.- 8.6 Workflows.- 8.7 Discussion.- 8.8 Acknowledgements.- 8.9 References.- 9. The hallmarks of cancer revisited through systems biology and network modeling.- 9.1 Introduction.- 9.2 Genome variation and instability revisited through genetic and genomic networks.- 9.3 Transcription and protein interaction networks revealed by modular cancer biomarkers.- 9.4 Growth, proliferation and apoptosis revisited through signalling network modeling.- 9.5 Sustained angiogenesis and metastasis revisited through multiscale modeling.- 9.6 The hallmarks of cancer extended to control of stress and metabolism.- 9.7 Conclusion and perspectives.- 9.8 Acknowledgements.- 9.9 References.- 10. Systems biology analysis of cell death pathways in cancer: how collaborative and interdisciplinary research helps.- 10.1 Introduction.- 10.2 Cell death pathways.- 10.3 Dysregulation of cell death pathways in cancer.- 10.4 Mathematical modelling of cell death pathways.- 10.5 Elements for interdisciplinary approaches to cancer research.- 10.6 How to share knowledge about systems biology approaches to cancers.- 10.7 Major collaborative efforts.- 10.8 Supporting collaborative research projects.- 10.9 Conclusion.- 10.10 Acknowledgements.- 10.11 References.- 11. Systems biology, bioinformatics and medicine approaches to cancer progression outcomes.-1 1.1 Introduction: The concept of pathway signatures.- 11.2 Identification of biological motifs from gene array data.- 11.3 From biological motifs to pathway activation.- 11.4 How realistic is modelling of carcinogenesis and tumour development in virtual tissues and organs?- 11.5 References.- 11.6 Websites.- 12. System dynamics at the physiological and tumour level.- 12.1 Introduction to mathematical modelling in cancer.- 12.2 Mathematical models in cancer.- 12.3 Model development.- 12.4 Iterative modelling of tumour systems.- 12.5 Experimental studies of tumour invasion.- 12.6 Tumour modelling collaborations.- 12.7 Detailed modelling example.- 12.8 Conclusions.- 12.9 References.- PART IV – Diagnosis, clinical and treatment applications.- 13. Diagnostic and prognostic cancer biomarkers: from traditional to systems approaches.- 13.1 Introduction.- 13.2 Role of biomarkers.- 13.3 Biomarkers for prediction of response to treatment.- 13.4 Biomarkers for prognosis.- 13.5 Biomarkers for monitoring.- 13.6 Measurement and analysis of biomarkers.- 13.7 Identification, standardization and validation of effective biomarkers.- 13.8 Annotated, high quality clinical samples.- 13.9 Analyses and simulations to predict and identify biomarkers.- 13.10 Approaches to data analyses in genomic studies.- 13.13 Pharmacokinetics and pharmacodynamics.- 13.14 Integrated approaches to biomarker discovery and development.- 13.15 References.- 14. Systems biology approaches to cancer drug development.- 14.1 Introduction.- 14.2 Model building.- 14.3 Case studies of modelling cellular networks.- 14.4 Modelling at cellular scales.- 14.5 Technologies used at Physiomics.- 14.6 Conclusion.- 14.7 References.- 15. Circadian rhythms and cancer chronotherapeutics .- 15.1 Circadian rhythms in health and diseases.- 15.2 Chronopharmacology, chronotolerance and chronoefficacy of anticancer drugs.- 15.3 From standard to personalized cancer chronotherapeutics.- 15.4 Conclusions and perspectives.- 15.5 Acknowledgements .- 15.6 References.- 16. Clinical applications of systems approaches.- 16.1 Chapter introduction.- 16.2 Systems biology approaches to identifying diagnostic, prognostic, and therapeutic biomarkers for cancer.- 16.3 Systems biology approaches to the design of combinatorial targeted therapy for cancer.- 16.4 The future of clinical trials: applying systems approaches to clinical trial design.- 16.5 References.- 17. Cancer robustness and therapy strategies.- 17.1 Introduction.- 17.2 Mechanisms for robustness.- 17.3 Mechanisms for cancer robustness.- 17.4 Robustness trade-offs.- 17.5 Theoretically-motivated therapy strategies.- 17.6 A proper index of treatment efficacy.- 17.7 Long-tail drugs.- 17.8 Conclusion.- 17.9 Acknowledgements.- 17.10 References.- PART V – Perspectives and conclusions.- 18. Synthetic biology and perspectives.- 18.1 Introduction.- 18.2 Synthetic biology for cancer research and applications.- 18.3 Synthetic biology applications to cancer.- 18.4 Review articles and workshops – integrated perspectives.- 18.5 Resources needed to support systems approaches to cancer research and diagnosis.- 18.6 Conclusions.- 18.7 References.- 19. Conclusions.- 19.1 Key points.- 19.2 Overall conclusions.- Index.

 

 

The world’s top experts describe systems approaches to cancer research and application

Is uniquely organized to unify all aspects from laboratory to clinic

Demonstrates how systems approaches build upon and greatly extend and unify current research practices

Demonstrates that cancer systems approaches form a unified field that has already produced major applications

A full range of subjects is covered, spanning laboratory, clinical and medical approaches

Includes supplementary material: sn.pub/extras



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