Overview

Concentrating on the most challenging problems in the molecular biology of cancer, this book provides a systematic overview of the current state of the art in computational systems biology. It presents concepts, algorithmic methods, bioinformatics tools, and biological applications, along with accompanying tables and illustrations. Supporting theoretical and practical approaches with real data, each chapter begins with an overview of a biological or clinical question of importance in cancer research or treatment, followed by a description of the current knowledge and a list of available resources.

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9781439831441

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Reviews

""There is a tremendous amount of biological and biochemical detail in this book, and yet (gratifyingly and perhaps surprisingly) considerable attention is paid to mathematical definitions …"" —John Adam, Mathematical Reviews, August 2013 ""An up-to-date, comprehensive and very readable overview, this book has plenty for everyone interested in computational systems biology of cancer. Almost all important topics are introduced and explained, and pointers are given to further work. The bibliography is outstanding. Think of this as your guide book to the field, as well as a way to get started in it."" —Terry Speed, Professor of Statistics, University of California, Berkeley, USA, and Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia ""This book deals with an important and very timely topic: The ongoing struggle against cancer can benefit greatly from the novel high-throughput technologies that are rapidly becoming more accessible. However, in order to make effective use of the data that these technologies produce, sophisticated computational methods that address the cancer disease on the system level are needed. The authors have made substantial and useful effort to describe the state of the art of these computational methods in an accessible and clear way. The book is a much-needed contribution to modern cancer analysis and to the emerging discipline of systems biology."" —Ron Shamir, Professor of Bioinformatics, Tel Aviv University, Israel ""This is the first book specifically focused on computational systems biology of cancer with coherent and proper vision on how to tackle this formidable challenge. I would like to congratulate the authors for their visions and dedications."" —Hiroaki Kitano, President, The Systems Biology Institute; President and Chief Operating Officer, Sony Computer Science Laboratories, Inc.; and Professor, Okinawa Institute of Science and Technology, Japan

An up-to-date, comprehensive and very readable overview, this book has plenty for everyone interested in computational systems biology of cancer. Almost all important topics are introduced and explained, and pointers are given to further work. The bibliography is outstanding. Think of this as your guide book to the field, as well as a way to get started in it. -Terry Speed, Professor of Statistics, University of California, Berkeley, USA, and Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia This book deals with an important and very timely topic: The ongoing struggle against cancer can benefit greatly from the novel high-throughput technologies that are rapidly becoming more accessible. However, in order to make effective use of the data that these technologies produce, sophisticated computational methods that address the cancer disease on the system level are needed. The authors have made substantial and useful effort to describe the state of the art of these computational methods in an accessible and clear way. The book is a much-needed contribution to modern cancer analysis and to the emerging discipline of systems biology. -Ron Shamir, Professor of Bioinformatics, Tel Aviv University, Israel This is the first book specifically focused on computational systems biology of cancer with coherent and proper vision on how to tackle this formidable challenge. I would like to congratulate the authors for their visions and dedications. -Hiroaki Kitano, President, The Systems Biology Institute; President and Chief Operating Officer, Sony Computer Science Laboratories, Inc.; and Professor, Okinawa Institute of Science and Technology, Japan

There is a tremendous amount of biological and biochemical detail in this book, and yet (gratifyingly and perhaps surprisingly) considerable attention is paid to mathematical definitions ... -John Adam, Mathematical Reviews, August 2013 An up-to-date, comprehensive and very readable overview, this book has plenty for everyone interested in computational systems biology of cancer. Almost all important topics are introduced and explained, and pointers are given to further work. The bibliography is outstanding. Think of this as your guide book to the field, as well as a way to get started in it. -Terry Speed, Professor of Statistics, University of California, Berkeley, USA, and Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia This book deals with an important and very timely topic: The ongoing struggle against cancer can benefit greatly from the novel high-throughput technologies that are rapidly becoming more accessible. However, in order to make effective use of the data that these technologies produce, sophisticated computational methods that address the cancer disease on the system level are needed. The authors have made substantial and useful effort to describe the state of the art of these computational methods in an accessible and clear way. The book is a much-needed contribution to modern cancer analysis and to the emerging discipline of systems biology. -Ron Shamir, Professor of Bioinformatics, Tel Aviv University, Israel This is the first book specifically focused on computational systems biology of cancer with coherent and proper vision on how to tackle this formidable challenge. I would like to congratulate the authors for their visions and dedications. -Hiroaki Kitano, President, The Systems Biology Institute; President and Chief Operating Officer, Sony Computer Science Laboratories, Inc.; and Professor, Okinawa Institute of Science and Technology, Japan

There is a tremendous amount of biological and biochemical detail in this book, and yet (gratifyingly and perhaps surprisingly) considerable attention is paid to mathematical definitions ... -John Adam, Mathematical Reviews, August 2013 An up-to-date, comprehensive and very readable overview, this book has plenty for everyone interested in computational systems biology of cancer. Almost all important topics are introduced and explained, and pointers are given to further work. The bibliography is outstanding. Think of this as your guide book to the field, as well as a way to get started in it. -Terry Speed, Professor of Statistics, University of California, Berkeley, USA, and Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia This book deals with an important and very timely topic: The ongoing struggle against cancer can benefit greatly from the novel high-throughput technologies that are rapidly becoming more accessible. However, in order to make effective use of the data that these technologies produce, sophisticated computational methods that address the cancer disease on the system level are needed. The authors have made substantial and useful effort to describe the state of the art of these computational methods in an accessible and clear way. The book is a much-needed contribution to modern cancer analysis and to the emerging discipline of systems biology. -Ron Shamir, Professor of Bioinformatics, Tel Aviv University, Israel This is the first book specifically focused on computational systems biology of cancer with coherent and proper vision on how to tackle this formidable challenge. I would like to congratulate the authors for their visions and dedications. -Hiroaki Kitano, President, The Systems Biology Institute; President and Chief Operating Officer, Sony Computer Science Laboratories, Inc.; and Professor, Okinawa Institute of Science and Technology, Japan

Author Information

Emmanuel Barillot, Laurence Calzone, Philippe Hupe, Jean-Philippe Vert, and Andrie Zinovyev are all with the Institut Curie in Paris, France.

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