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RNA Structure Prediction
This book explores recent progress in RNA secondary, tertiary structure prediction, and its application from an expansive point of view. Because of advancements in experimental protocols and devices, the integration of new types of data as well as new analysis techniques is necessary, and this volume discusses additional topics that are closely related to RNA structure prediction, such as the detection of structure-disrupting mutations, high-throughput structure analysis, and 3D structure design. Written for the highly successful Methods in Molecular Biology series, chapters feature the kind of detailed implementation advice that leads to quality research results. Authoritative and practical, RNA Structure Prediction serves as a valuable guide for both experimental and computational RNA researchers.
RNA-protein Interactions
The study of RNA-protein interactions is crucial to understanding the mechanisms and control of gene expression and protein synthesis. The realization that RNAs are often far more biologically active than was previously appreciated has stimulated a great deal of new research in this field. Uniquely, in this book, the world's leading researchers have collaborated to produce a comprehensive and current review of RNA-protein interactions for all scientists working in this area. Timely, comprehensive, and authoritative, this new Frontiers title will be invaluable for all researchers in molecular biology, biochemistry and structural biology.
Genomic Signal Processing
Genomic signal processing (GSP) can be defined as the analysis, processing, and use of genomic signals to gain biological knowledge, and the translation of that knowledge into systems-based applications that can be used to diagnose and treat genetic diseases. Situated at the crossroads of engineering, biology, mathematics, statistics, and computer science, GSP requires the development of both nonlinear dynamical models that adequately represent genomic regulation, and diagnostic and therapeutic tools based on these models. This book facilitates these developments by providing rigorous mathematical definitions and propositions for the main elements of GSP and by paying attention to the validi...
Big Data over Networks
Examines the crucial interaction between big data and communication, social and biological networks using critical mathematical tools and state-of-the-art research.
The Nine-Banded Armadillo
The word armadillo is Spanish for “little armored one.” This midsize mammal that looks like a walking tank is a source of fascination for many people but a mystery to almost all. Dating back at least eleven million years, the nocturnal, burrowing insectivore was for centuries mistaken for a cross between a hedgehog and a turtle, but it actually belongs to the mammalian superorder Xenarthra that includes sloths and anteaters. Biologists W. J. Loughry and Colleen M. McDonough have studied the nine-banded armadillo (Dasypus novemcinctus) for more than twenty years. Their richly illustrated book offers the first comprehensive review of everything scientists know about this unique animal. Eng...
Recent Advances in Biological Network Analysis
This book reviews recent advances in the emerging field of computational network biology with special emphasis on comparative network analysis and network module detection. The chapters in this volume are contributed by leading international researchers in computational network biology and offer in-depth insight on the latest techniques in network alignment, network clustering, and network module detection. Chapters discuss the advantages of the respective techniques and present the current challenges and open problems in the field. Recent Advances in Biological Network Analysis: Comparative Network Analysis and Network Module Detection will serve as a great resource for graduate students, academics, and researchers who are currently working in areas relevant to computational network biology or wish to learn more about the field. Data scientists whose work involves the analysis of graphs, networks, and other types of data with topological structure or relations can also benefit from the book's insights.
Optimal Bayesian Classification
"The most basic problem of engineering is the design of optimal operators. Design takes different forms depending on the random process constituting the scientific model and the operator class of interest. This book treats classification, where the underlying random process is a feature-label distribution, and an optimal operator is a Bayes classifier, which is a classifier minimizing the classification error. With sufficient knowledge we can construct the feature-label distribution and thereby find a Bayes classifier. Rarely, do we possess such knowledge. On the other hand, if we had unlimited data, we could accurately estimate the feature-label distribution and obtain a Bayes classifier. R...
Keeping His Whims in Check
Proclaimed handsome elite businessman, Yuto Shinonome, falls in love at first sight with Tamaki, a beauty who’s exactly his type. It hits him like a ton of bricks when he finds out Tamaki is actually a guy!! Nevertheless, Yuto still acts like a kid with a crush and teases Tamaki like there’s no tomorrow … How can perverse Yuto handle love!?
