Computer Science & Engineering

Computational Biology

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Computational Approaches to Protein Dynamics: From Quantum to Coarse-Grained Methods

Monika Fuxreiter
February 19, 2018

The Latest Developments on the Role of Dynamics in Protein Functions Computational Approaches to Protein Dynamics: From Quantum to Coarse-Grained Methods presents modern biomolecular computational techniques that address protein flexibility/dynamics at all levels of theory. An international...

Quantum Information and Consciousness: A Gentle Introduction

Danko D. Georgiev
January 30, 2018

"I loved the book! This book is not just interesting, it is exciting. I have probably read every significant book in the field, and this is the strongest and most convincing one yet. It is also one of the most comprehensive in its explanations. I shall most certainly recommend the book to...

Big Data in Omics and Imaging: Association Analysis

Momiao Xiong
December 22, 2017

Big Data in Omics and Imaging: Association Analysis addresses the recent development of association analysis and machine learning for both population and family genomic data in sequencing era. It is unique in that it presents both hypothesis testing and a data mining approach to holistically...

Medical Applications of Artificial Intelligence

Arvin Agah
December 18, 2017

Enhanced, more reliable, and better understood than in the past, artificial intelligence (AI) systems can make providing healthcare more accurate, affordable, accessible, consistent, and efficient. However, AI technologies have not been as well integrated into medicine as predicted. In order to...

Modern Directional Statistics

Christophe Ley, Thomas Verdebout
September 15, 2017

Modern Directional Statistics collects important advances in methodology and theory for directional statistics over the last two decades. It provides a detailed overview and analysis of recent results that can help both researchers and practitioners. Knowledge of multivariate statistics eases the...

Computational Exome and Genome Analysis

Peter N. Robinson, Rosario Michael Piro, Marten Jager
September 11, 2017

Exome and genome sequencing are revolutionizing medical research and diagnostics, but the computational analysis of the data has become an extremely heterogeneous and often challenging area of bioinformatics. Computational Exome and Genome Analysis provides a practical introduction to all of...

X-Machines for Agent-Based Modeling: FLAME Perspectives

Mariam Kiran
August 15, 2017

From the Foreword: "This book exemplifies one of the most successful approaches to modeling and simulating [the] new generation of complex systems. FLAME was designed to make the building of large scale complex systems models straightforward and the simulation code that it generates is highly...

Chromatin: Structure, Dynamics, Regulation

Ralf Blossey
July 21, 2017

An invaluable resource for computational biologists and researchers from other fields seeking an introduction to the topic, Chromatin: Structure, Dynamics, Regulation offers comprehensive coverage of this dynamic interdisciplinary field, from the basics to the latest research. Computational methods...

Python for Bioinformatics, Second Edition

Sebastian Bassi
July 10, 2017

In today's data driven biology, programming knowledge is essential in turning ideas into testable hypothesis. Based on the author’s extensive experience, Python for Bioinformatics, Second Edition helps biologists get to grips with the basics of software development. Requiring no prior knowledge of...

Combinatorial Pattern Matching Algorithms in Computational Biology Using Perl and R

Gabriel Valiente
June 14, 2017

Emphasizing the search for patterns within and between biological sequences, trees, and graphs, Combinatorial Pattern Matching Algorithms in Computational Biology Using Perl and R shows how combinatorial pattern matching algorithms can solve computational biology problems that arise in the analysis...

Microarray Image Analysis: An Algorithmic Approach

Karl Fraser, Zidong Wang, Xiaohui Liu
June 14, 2017

To harness the high-throughput potential of DNA microarray technology, it is crucial that the analysis stages of the process are decoupled from the requirements of operator assistance. Microarray Image Analysis: An Algorithmic Approach presents an automatic system for microarray image processing to...

Cancer Systems Biology

Edwin Wang
June 14, 2017

The unprecedented amount of data produced with high-throughput experimentation forces biologists to employ mathematical representation and computation methods to glean meaningful information in systems-level biology. Applying this approach to the underlying molecular mechanisms of tumorigenesis,...