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  • 1
    Keywords: Medicine ; Oncology ; Gene Expression ; Bioinformatics ; Biological models ; Biomedicine ; Cancer Research ; Bioinformatics ; Computational Biology/Bioinformatics ; Systems Biology ; Molecular Medicine ; Gene Expression ; Springer eBooks
    Description / Table of 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. ℗
    Abstract: This book 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 their applications in combination with cutting edge experimental techniques that are used to approach all aspects of microRNA regulation in cancer. The use of high-throughput quantitative techniques makes an integrative experimental and computational approach necessary. This book will be a resource for researchers starting out with 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, and the state-of-the-art in computational microRNA biology
    Pages: : digital.
    ISBN: 9789400755901
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  • 2
    Keywords: Bioinformatics ; Human Genetics ; Bioinformatics ; Human Genetics ; Computational Biology/Bioinformatics ; Springer eBooks
    Description / Table of Contents: ncRNAs in Inflammatory and Infectious Diseases -- p73-Governed miRNA Networks: Translating Bioinformatics Approaches to Therapeutic Solutions for Cancer Metastasis -- Methods for Annotation and Validation of Circular RNAs from RNAseq Data -- Methods to Study Long Non-coding RNA Expression and Dynamics in Zebrafish using RNA Sequencing -- Workflow Development for the Functional Characterization of ncRNAs -- ncRNA Editing: Functional Characterization and Computational Resources -- Computational Prediction of Functional microRNA – mRNA Interactions -- Tools for Understanding miRNA-mRNA Interactions for Reproducible RNA Analysis -- Computational Resources for Prediction and Analysis of Functional miRNA and their Targetome -- Non-coding RNAs Databases: Current Status and Trends -- Controllability Methods for Identifying Associations between Critical Control ncRNAs and Human Diseases -- Network-based Methods and Other Approaches for Predicting lncRNA Functions and Disease Associations -- Integration of miRNA and mRNA Expression Data for Understanding Etiology of Gynecologic Cancers -- Quantitative Characteristic of ncRNA Regulation in Gene Regulatory Networks -- Kinetic Modeling of Competition and Depletion of Shared miRNAs by Competing Endogenous RNAs -- Modeling ncRNA-mediated Circuits in Cell Fate Decision -- Modeling Long ncRNA-mediated Regulation in the Mammalian Cell Cycle
    Abstract: This volume details a collection of state-of-art methods including identification of novel ncRNAs and their targets, functional annotation and disease association in different biological contexts. Chapters guide readers through an overview of disease-specific ncRNAs, computational methods and workflows for ncRNA discovery, annotation based on high-throughput sequencing data, bioinformatics tools and databases for ncRNA analyses, network-based methods, and kinetic modelling of ncRNA-mediated gene regulation. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Computational Biology of Non-Coding RNA: Methods and Protocols aims to provide a state-of-the-art collection of computational methods and approaches that will be of value to researchers interested in ncRNA field
    Pages: XII, 451 p. 78 illus., 65 illus. in color. : online resource.
    ISBN: 9781493989829
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