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MORE ABOUT THIS BOOK
Main description:
This edited reflects the current state of knowledge about the role of microRNAs in the formation and progression of solid tumours. The main focus lies on computational methods and applications, together with cutting edge experimental techniques that are used to approach all aspects of microRNA regulation in cancer. We are sure that the emergence of high-throughput quantitative techniques will make this integrative approach absolutely necessary in the near future. This book will be a resource for researchers starting out with cancer microRNA research, but is also intended for the experienced researcher who wants to incorporate concepts and tools from systems biology and bioinformatics into his work. Bioinformaticians and modellers are provided with a general perspective on microRNA biology in cancer, and the state-of-the-art in computational microRNA biology.
Contents:
Preface
1 MicroRNAs in human cancer
2 Bioinformatics, non-coding RNAs and its possible application in personalized medicine
3 MicroRNA target prediction and validation
4 MicroRNA-regulated networks: the perfect storm for classical molecular biology, the ideal scenario for systems biology
5 The p53/microRNA network in cancer: experimental and bioinformatics approaches
6 MicroRNAs in melanoma biology
7 MicroRNA in the lung
8 The E2F1-miRNA cancer progression network
9 Modeling of microRNA-transcription factor networks in cancer
10 Coordinated networks of microRNAs and transcription factors with evolutionary perspectives
11 Mathematical modeling of microRNA-mediated mechanisms of translation repression
12 Web resources for microRNA research
13 Discovery of microRNA regulatory networks by integrating multidimensional high-throughput data
14 Discovering the functional microRNA-mRNA regulatory modules in heterogeneous data
15 Elucidating the role of microRNAs in cancer through data mining techniques
16 Working together: Combinatorial regulation by microRNAs.
PRODUCT DETAILS
Publisher: Springer
Publication date: February, 2013
Pages: 450
Weight: 9006g
Availability: Available
Subcategories: General Issues, Genetics, Oncology
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