Computational Methods for Single-Cell Data Analysis, Guo-Cheng Yuan
Автор: Helms, Volkhard Название: Principles of Computational Cell Biology ISBN: 3527333584 ISBN-13(EAN): 9783527333585 Издательство: Wiley Рейтинг: Цена: 11880.00 р. Наличие на складе: Поставка под заказ.
Описание: This successful text, now in its 2nd ed. , provides an ideal introduction into the possibilities of modeling on a cell biology level. It extends the strengths of the first edition even further while keeping faithful to the trusted hands-on concept and keeping math to the minimum.
Описание: Volume One of this two-volume sequence focuses on the basic characterization of known protein structures, and structure prediction from protein sequence information. Eleven chapters survey of the field, covering key topics in modeling, force fields, classification, computational methods, and structure prediction.
Автор: Malik Yousef; Jens Allmer Название: miRNomics: MicroRNA Biology and Computational Analysis ISBN: 1627037470 ISBN-13(EAN): 9781627037471 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In miRNomics: MicroRNA Biology and Computational Analysis, expert researchers in the field present an overview of the current state of the art and aim to put the respective areas of research into a larger perspective.
Автор: Shi-Jie Chen Название: Computational Methods for Understanding Riboswitches,553 ISBN: 0128014296 ISBN-13(EAN): 9780128014295 Издательство: Elsevier Science Рейтинг: Цена: 23244.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This new volume of Methods in Enzymology continues the legacy of this premier serial with quality chapters authored by leaders in the field. This volume covers computational prediction RNA structure and dynamics, including such topics as computational modeling of RNA secondary and tertiary structures, riboswitch dynamics, and ion-RNA, ligand-RNA and DNA-RNA interactions.
Описание: Computational Methods for Three-Dimensional Microscopy Reconstruction
Автор: S?ndor Suhai Название: Computational Methods in Genome Research ISBN: 1461360420 ISBN-13(EAN): 9781461360421 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The application of computational methods to solve scientific and pratical problems in genome research created a new interdisciplinary area that transcends boundaries traditionally separating genetics, biology, mathematics, physics, and computer science.
Описание: This new publication in the Methods in Molecular Biology series sets out detailed protocols for the targeted bioinformatics procedures dedicated to RNA structure. It features practical and algorithmic approaches as well as expert problem-solving advice.
Описание: Volume Two of this two-volume sequence presents a comprehensive overview of protein structure prediction methods and includes protein threading, De novo methods, applications to membrane proteins and protein complexes, structure-based drug design, as well as structure prediction as a systems problem.
Описание: Part I: Stochastic Chemical Reactions.- Test Models for Statistical Inference: Two-Dimensional Reaction Systems Displaying Limit Cycle Bifurcations and Bistability.- Importance Sampling for Metastable and Multiscale Dynamical Systems.- Multiscale Simulation of Stochastic Reaction-diffusion Networks.- Part II: Stochastic Numerical Approaches, Algorithms and Coarse-Grained Simulations.- Numerical Methods for Ergodic SDEs: When Stochastic Integration Meets Geometric Integration.-Stability and Strong Convergence for Spatial Stochastic Kinetics.- The T cells in an Ageing Virtual Mouse.- Part III: Analysis of Stochastic Dynamical Systems for Modeling Cell Biology.- Model reduction for Stochastic Reaction Systems.- ZI-closure Scheme: A Method to Solve and Study Stochastic Reaction Networks.- Deterministic and Stochastic Becker-Dцring Equations: Past and Recent Mathematical Developments.- Coagulation-Fragmentation with a Finite Number of Particles: Models, Stochastic Analysis and Applications to Telomere Clustering and Viral Capsid Assembly.- A Review of Stochastic and Delay Simulation Approaches in both Time and Space in Computational Cell Biology.- Part IV: Diffusion Processes and Stochastic Modeling.- Recent Mathematical Models of Axonal Transport.- Stochastic Models for Evolving Cellular Populations of Mitochondria: Disease, Development, and Ageing.- Modeling and Stochastic Analysis of the Single Photon Response.- A Phenomenological Spatial Model for Macro-ecological Patterns in Species-rich Ecosystems.
Описание: The existence of genes for RNA molecules not coding for proteins (ncRNAs) has been recognized since the 1950's, but until recently, aside from the critically important ribosomal and transfer RNA genes, most focus has been on protein coding genes. However, a long series of striking discoveries, from RNA's ability to carry out catalytic function, to discovery of riboswitches, microRNAs and other ribo-regulators performing critical tasks in essentially all living organisms, has created a burgeoning interest in this primordial component of the biosphere. However, the structural characteristics and evolutionary constraints on RNA molecules are very different from those of proteins, necessitating development of a completely new suite of informatic tools to address these challenges. In RNA Sequence, Structure, Function: Computational and Bioinformatic Methods, expert researchers in the field describe a substantial and relevant fraction of these methodologies from both practical and computational/algorithmic perspectives. Focusing on both of these directions addresses both the biologist interested in knowing more about RNA bioinformatics as well as the bioinformaticist interested in more detailed aspects of the algorithms. Written in the highly successful Methods in Molecular Biology series format, the chapters include the kind of detailed description and implementation advice that is crucial for getting optimal results. Thorough and intuitive, RNA Sequence, Structure, Function: Computational and Bioinformatic Methods aids scientists in continuing to study key methods and principles of RNA bioinformatics.
Автор: Mario Andrea Marchisio Название: Computational Methods in Synthetic Biology ISBN: 149395380X ISBN-13(EAN): 9781493953806 Издательство: Springer Рейтинг: Цена: 13275.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Part I: Component Design
1. Computational Protein Design Methods for Synthetic Biology
Pablo Carbonell and Jean-Yves Trosset
2. Computer-Aided Design Of DNA Origami Structures
Denis Selnihhin and Ebbe Sloth Andersen
3. Computational Design Of RNA Parts, Devices, and Transcripts With Kinetic Folding Algorithms Implemented On Multiprocessor Clusters
Tim Thimmaiah, William E. Voje Jr., and James M. Carothers
4. Regulatory RNA Design Through Evolutionary Computation And Strand Displacement
William Rostain, Thomas E. Landrain, Guillermo Rodrigo, and Alfonso Jaramillo
Part II: Circuit Design
5. Programming Languages for Circuit Design
Michael Pedersen and Boyan Yordanov
6. Kappa Rule-Based Modelling in Synthetic Biology
John Wilson-Kanamori, Vincent Danos, Ty Thomson, and Ricardo Honorato-Zimmer
7. Modular Design Of Synthetic Gene Circuits With Biological Parts and Pools
Mario Andrea Marchisio
8. Computationally Guided Design Of Robust Gene Circuits
Najaf A. Shahand Casim A. Sarkar
9. Chemical Master Equation Closure for Computer-Aided Synthetic Biology
Patrick Smadbeck and Yiannis N. Kaznessis
10. Feedback loops in biological networks
Elisa Franco and Kate E. Galloway
Part III: Circuit Analysis and Simulations
11. Efficient Analysis Methods in Synthetic Biology
Curtis Madsen, Chris Myers, Nicholas Roehner, Chris Winstead, and Zhen Zhang
12. Using Computational Modeling and Experimental Synthetic Perturbations to Probe Biological Circuits
Joshua R. Porter and Eric Batchelor
13. In Silico Control Of Biomolecular Processes
Jannis Uhlendorf, Agnиs Miermont, Thierry Delaveau, Gilles Charvin, Franзois Fages, Samuel Bottani, Pascal Hersen, and Gregory Batt
14. Stochastic Modular Analysis For Gene Circuits: Interplay Among Retroactivity, Nonlinearity, and Stochasticity
Kyung Hyuk Kim and Herbert M Sauro
Part IV: Distributed Systems and Automation
15. Distributed Model Construction with Virtual Parts
Michael T. Cooling and Tommy Yu
16. The Synthetic Biology Open Language
Chris Myers, Kevin Clancy, Goksel Misirli, Ernst Oberortner, Matthew Pocock,
Jacqueline Quinn, Nicholas Roehner, and Herbert Sauro
17. Computational Methods For The Construction, Editing, and Error Correction Of DNA Molecules And Their Libraries
Ofir Raz and Tuval Ben Yehezkel
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