Gene Regulatory Sequences and Human Disease, Nadav Ahituv
Автор: Volker A. Erdmann; Jan Barciszewski Название: From Nucleic Acids Sequences to Molecular Medicine ISBN: 364243083X ISBN-13(EAN): 9783642430831 Издательство: Springer Рейтинг: Цена: 28732.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Written by leading experts in the field , this book covers hot topics such as small interference RNAs for gene silencing in molecular biology and medicine. Includes numerous illustrations.
Автор: Allen G. Rodrigo; Gerald H. Learn Jr. Название: Computational and Evolutionary Analysis of HIV Molecular Sequences ISBN: 1475774540 ISBN-13(EAN): 9781475774542 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Computational and Evolutionary Analysis of HIV Molecular Sequences is for all researchers interested in HIV research, even those who only have a nodding acquaintance with computational biology (or those who are familiar with some, but not all, aspects of the field).
Описание: This brief examines a deterministic, ODE-based model for gene regulatory networks (GRN) that incorporates nonlinearities and time-delayed feedback. One chapter is devoted to the analysis of GRNs under negative feedback with time delays and a special case of a homogenous GRN is considered.
Автор: Michael Mackey; Mois?s Santill?n; Marta Tyran-Kami Название: Simple Mathematical Models of Gene Regulatory Dynamics ISBN: 3319453173 ISBN-13(EAN): 9783319453170 Издательство: Springer Рейтинг: Цена: 5870.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is a short and self-contained introduction to the field of mathematical modeling of gene-networks in bacteria. As an entry point to the field, we focus on the analysis of simple gene-network dynamics. The notes commence with an introduction to the deterministic modeling of gene-networks, with extensive reference to applicable results coming from dynamical systems theory. The second part of the notes treats extensively several approaches to the study of gene-network dynamics in the presence of noise—either arising from low numbers of molecules involved, or due to noise external to the regulatory process. The third and final part of the notes gives a detailed treatment of three well studied and concrete examples of gene-network dynamics by considering the lactose operon, the tryptophan operon, and the lysis-lysogeny switch. The notes contain an index for easy location of particular topics as well as an extensive bibliography of the current literature. The target audience of these notes are mainly graduates students and young researchers with a solid mathematical background (calculus, ordinary differential equations, and probability theory at a minimum), as well as with basic notions of biochemistry, cell biology, and molecular biology. They are meant to serve as a readable and brief entry point into a field that is currently highly active, and will allow the reader to grasp the current state of research and so prepare them for defining and tackling new research problems.
Автор: K. Gardiner; U. Hochgeschwender Название: Identification of Transcribed Sequences ISBN: 1461360943 ISBN-13(EAN): 9781461360940 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Human Genome Project, an endeavor to map and sequence the entire human genome, has been in existence for almost seven years. This latter endeavor represents a new facet of the genome project, and as such requires the recognition and solution of a new set of problems, with the attendant development and application of a new set of techniques.
Автор: Bart Deplancke; Nele Gheldof Название: Gene Regulatory Networks ISBN: 1493958380 ISBN-13(EAN): 9781493958382 Издательство: Springer Рейтинг: Цена: 20263.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This timely and authoritative book aims to provide a comprehensive toolkit to study gene regulatory networks from the point of data generation to processing, visualization, and modeling. The book is intended for novices and experienced researchers alike.
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