Bioinformatics and the Cell: Modern Computational Approaches in Genomics, Proteomics and Transcriptomics, Xia Xuhua
Автор: Jiaqian Wu Название: Transcriptomics and Gene Regulation ISBN: 9402404341 ISBN-13(EAN): 9789402404340 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume focuses on modern computational and statistical tools for translational gene expression and regulation research to improve prognosis, diagnostics, prediction of severity, and therapies for human diseases. It introduces some of state of the art technologies as well as computational and statistical tools for translational bioinformatics in the areas of gene transcription and regulation, including the tools for next generation sequencing analyses, alternative spicing, the modeling of signaling pathways, network analyses in predicting disease genes, as well as protein and gene expression data integration in complex human diseases etc. The book is particularly useful for researchers and students in the field of molecular biology, clinical biology and bioinformatics, as well as physicians etc. Dr. Jiaqian Wu is assistant professor in the Vivian L. Smith Department of Neurosurgery and Center for Stem Cell and Regenerative Medicine, University of Texas Health Science Centre, Houston, TX, USA.
Описание: This book is a comprehensive guide to applications of mathematical and computational approaches to cell biology. It provides an accessible entry route into this interdisciplinary field for students and researchers from various specialized backgrounds in biology, mathematics, physics, engineering or computer science. It gives a balanced presentation of the methodology (differential equations, dynamical systems analysis, stochastic processes, networks and optimization) and new, emerging modeling approaches, illustrated through a structured collection of case studies in which the use of mathematical and computational methods combined with experiments leads to new insights into the biological phenomena. At the end of each chapter, this is complemented with a brief overview of the relevant systems biology literature, providing links to reviews and key research publications in the particular area for further reading. In addition to the modeling approaches, the book also describes the relevant mathematical and systems biology software tools, including a set of problems and computational exercises through which the reader can gain a practical knowledge of the wide range of computational tools and model databases currently available.
Автор: Detrich, III, H. William Название: The Zebrafish: Genetics, Genomics, and Transcriptomics,135 ISBN: 0128034742 ISBN-13(EAN): 9780128034743 Издательство: Elsevier Science Рейтинг: Цена: 21222.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: "
The Zebrafish: Genetics, Genomics, and Transcriptomics, Fourth Edition, "is the latest volume in the "Methods in Cell Biology "series that looks at methods for the analysis of genetics, genomics, and transcriptomics of Zebrafish.
Chapters cover such topics as gene-trap mutagenesis, genetic Screens for mutations, gene editing in zebrafish, homologous gene targeting, genome-wide RNA tomography, and developmental epigenetics and the zebrafish interactome. Covers sections on model systems and functional studies, imaging-based approaches, and emerging studiesPresents chapters written by experts in the fieldContains cutting-edge material on the topic
Автор: Yongxian Wang, Zhenghua Wang Название: Proteomics and Biological Networks ISBN: 311046117X ISBN-13(EAN): 9783110461176 Издательство: Walter de Gruyter Цена: 22305.00 р. Наличие на складе: Нет в наличии.
Описание: This book presents molecular biology knowledge and mathematical theories of frequently-used algorithms in sequence comparison, gene finding, sequence evolution and structuring phylogenetic tree.
Описание: This book reflects more than three decades of research on Cellular Automata (CA), and nearly a decade of work on the application of CA to model biological strings, which forms the foundation of `A New Kind of Computational Biology` pioneered by the start-up, CARLBio.
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