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Application of Clinical Bioinformatics
This book elucidates how genetic, biological and medical information can be applied to the development of personalized healthcare, medication and therapies. Focusing on aspects of the development of evidence-based approaches in bioinformatics and computational medicine, including data integration, methodologies, tools and models for clinical and translational medicine, it offers an essential introduction to clinical bioinformatics for clinical researchers and physicians, medical students and teachers, and scientists working with human disease-based omics and bioinformatics. Dr. Xiangdong Wang is a distinguished Professor of Medicine. He is Director of Shanghai Institute of Clinical Bioinform...
Deep Learning in Science
Rigorous treatment of the theory of deep learning from first principles, with applications to beautiful problems in the natural sciences.
Epigenetics, Environment, and Genes
This title includes a number of Open Access chapters.Epigenetics refers to DNA and chromatin modifications that play an important role in the regulation of various genomic functions. This important book reviews human and cellular data that underline paradoxical findings with respect to the contribution of heredity and environment to phenotype. The
Applied Computational Genomics
The volume provides a review of statistical development and application in the area of human genomics, including candidate gene mapping, linkage analysis, population-based genome-wide association, exon sequencing, and whole genome sequencing analysis. The authors are extremely experienced in the field of statistical genomics and will give a detailed introduction to the evolution of the field, as well as critical comments on the advantages and disadvantages of the proposed statistical models. The future directions of translational biology will also be described.
Pattern Recognition in Bioinformatics
This book constitutes the refereed proceedings of the 5th International Conference on Pattern Recognition in Bioinformatics, PRIB 2010, held in Nijmegen, The Netherlands, in September 2010. The 38 revised full papers presented were carefully reviewed and selected from 46 submissions. The field of bioinformatics has two main objectives: the creation and maintenance of biological databases and the analysis of life sciences data in order to unravel the mysteries of biological function. Computer science methods such as pattern recognition, machine learning, and data mining have a great deal to offer the field of bioinformatics.
New edge of antibiotic development: antimicrobial peptides and corresponding resistance
Antimicrobial peptides, commonly isolated from several organisms, have been considered part of innate immune system and also as potential antimicrobial drugs. Besides its antimicrobial activity, some AMPs also have antifungal activity, inmmunomodulatory and antitumural activities. Lately not only nature has become a source of AMPs. Besides isolation of natural organisms, antimicrobial peptides might be improved or created using computational tools. This opens even more this so amazing field by creating infinite novel and remarkable possibilities. Overall the current issue highlights the relevance of such Research Topic with perspectives to develop entirely new molecules with vast application within health and agricultural field with higher affinity for its target with concomitant reduction of side effects.
Heart Genomics
This book elucidates how advances in genomics research are being applied in connection with heart diseases. It describes the development of genome-scale technologies and their applications to all areas of cardiac investigations, such as genomics, functional genomics, epigenomics, etc., and how they relate to a series of important breakthroughs in various heart diseases. Applying unbiased genomics, combined with a disease-focused and hypothesis-driven approach, represents a promising way to advance our understanding of cardiac diseases. The book offers an important reference work on introducing genomics in heart disease for all scientists and graduate students whose work involves genomics and cardiology, as well as for clinical physicians.
Genomic Approach to Asthma
This volume in the series, Translational Bioinformatics, provides an up-to-date overview of genomic approaches to asthma. By applying unbiased “-omics” combined with disease-focused and hypothesis-driven approaches, it enhances readers’ understanding of the asthma endotype. Furthermore, it elucidates how progress in -omics research, such as “genomic,” “transcriptomic,” “protomic,” and “metabolomic,” is applied in asthma, and reports on the related series of important breakthroughs in asthma development, classification, prevention and drug sensitivity. Also covering systems biology knowledge and methodologies, computational models and biostatistical methods to analyze big data, this book provides a valuable resource for scientists and researchers in the field of asthma and respiratory diseases.
Distributed Computing -- IWDC 2004
This book constitutes the refereed proceedings of the 6th International Workshop on Distributed Computing, IWDC 2004, held in Kolkata, India in December 2004. The 27 revised full papers and 27 revised short papers presented together with 3 invited contributions and abstracts of 11 reviewed workshop papers were carefully reviewed and selected from 157 submissions. The papers are organized in topical sections on distributed algorithms, high-performance computing, distributed systems, wireless networks, information security, network protocols, reliability and testing, network topology and routing, mobile computing, ad-hoc networks, and sensor networks.
