The computational methods of bioinformatics are being used more and more to process the large volume of current biological data. Promoting an understanding of the underlying biology that produces this data, Pattern Discovery in Bioinformatics: Theory and Algorithms provides the tools to study regularities in biological data. Taking a systematic approach to pattern discovery, the book supplies sound mathematical definitions and efficient algorithms to explain vital information about biological data. It explores various data patterns, including strings, clusters, permutations, topology,...
The computational methods of bioinformatics are being used more and more to process the large volume of current biological data. Promoting an understa...
An emerging, ever-evolving branch of science, bioinformatics has paved the way for the explosive growth in the distribution of biological information to a variety of biological databases, including the National Center for Biotechnology Information. For growth to continue in this field, biologists must obtain basic computer skills while computer specialists must possess a fundamental understanding of biological problems. Bridging the gap between biology and computer science, Bioinformatics: A Practical Approach assimilates current bioinformatics knowledge and tools relevant to the...
An emerging, ever-evolving branch of science, bioinformatics has paved the way for the explosive growth in the distribution of biological information ...
Demystifies Biomedical and Biological Big Data Analyses
Big Data Analysis for Bioinformatics and Biomedical Discoveries provides a practical guide to the nuts and bolts of Big Data, enabling you to quickly and effectively harness the power of Big Data to make groundbreaking biological discoveries, carry out translational medical research, and implement personalized genomic medicine. Contributing to the NIH Big Data to Knowledge (BD2K) initiative, the book enhances your computational and quantitative skills so that you can exploit the Big Data being...
Demystifies Biomedical and Biological Big Data Analyses
Big Data Analysis for Bioinformatics and Biomedical Discoveries
Cutting-Edge Techniques to Better Analyze and Predict Complex Physical Phenomena
Geometric Modeling and Mesh Generation from Scanned Images shows how to integrate image processing, geometric modeling, and mesh generation with the finite element method (FEM) to solve problems in computational biology, medicine, materials science, and engineering. Based on the author s recent research and course at Carnegie Mellon University, the text explains the fundamentals of medical imaging, image processing, computational geometry, mesh generation, visualization, and...
Cutting-Edge Techniques to Better Analyze and Predict Complex Physical Phenomena
Molecular biologists are performing increasingly large and complicated experiments, but often have little background in data analysis. The book is devoted to teaching the statistical and computational techniques molecular biologists need to analyze their data. It explains the big-picture concepts in data analysis using a wide variety of real-world molecular biological examples such as eQTLs, ortholog identification, motif finding, inference of population structure, protein fold prediction and many more. The book takes a pragmatic approach, focusing on techniques that are based on elegant...
Molecular biologists are performing increasingly large and complicated experiments, but often have little background in data analysis. The book is dev...
Advances in sequencing technology have allowed scientists to study the human genome in greater depth and on a larger scale than ever before - as many as hundreds of millions of short reads in the course of a few days. But what are the best ways to deal with this flood of data?
Algorithms for Next-Generation Sequencing is an invaluable tool for students and researchers in bioinformatics and computational biology, biologists seeking to process and manage the data generated by next-generation sequencing, and as a textbook or a self-study resource. In addition to offering an...
Advances in sequencing technology have allowed scientists to study the human genome in greater depth and on a larger scale than ever before - as ma...
The book aims at providing both students and scientists with an extensive, interesting and cutting edge description of the protein world and its applications. The second edition will contain new developments on membrane proteins, more lab nethods for studying proteins, and expanded material on cryoEM. A key goal of the second edition is to make the book more student friendly. To this end, a new chapter will be added on enzyme catalysis and its applications to protein engineering and drug design. In addition, exercises will now be included at the end of each chapter.
The book aims at providing both students and scientists with an extensive, interesting and cutting edge description of the protein world and its ap...
The emerging genomic, epigenomic, sensing and image technologies will produce a deluge of unprecedentedly massive and highly-dimensional genomic, epigenomic, physiological, image and clinical data. Goals of this book are to develop unified frameworks, basic knowledge and efficient computational tools for analyzing growing large, complex and diverse genomic, epigenomic, physiological and image data. The book is designed to introduce the currently developed statistical methods and software for big genomic and epigenomic data analysis with real-world examples and case studies.
The emerging genomic, epigenomic, sensing and image technologies will produce a deluge of unprecedentedly massive and highly-dimensional genomic, e...
