Showing all 15 results
If you are either a computational biologist or a Python programmer, you will probably relate to the expression "explosive growth, exciting times". Python is arguably the main programming language for big data, and the deluge of data in biology, mostly from genomics and proteomics, makes bioinformatics one of the most exciting fields in data science.Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biologyAbout This BookDiscover and learn the most important Python libraries and applications to do a complex bioinformatics analysisFocuses on the most modern tools to do research with next generation sequencing, genomics, population genetics, phylogenomics, and proteomicsUses real-world examples and teaches you to implement high-impact research methodsWho This Book Is ForIf you have intermediate-level knowledge of Python and are well aware of the main research and vocabulary in your bioinformatics topic of interest, this book will help you develop your knowledge further.W
The book presents a class of new results in molecular biology for which topological methods and ideas are important. These include: the large-scale conformation properties of DNA; computational methods allowing the simulation of large-scale properties of DNA; the tangle model of DNA recombination and other applications of Knot theory; dynamics of supercoiled DNA and biocatalitic properties of DNA; the structure of proteins; and other very recent problems in molecular biology.
This book provides an up-to-date presentation of a broad range of contemporary problems in inverse scattering involving acoustic, elastic and electromagnetic waves.
Over a decade ago, as the Human Genome Project completed its mapping of the entire human genome, hopes ran high that we would rapidly be able to use our knowledge of human genes to tackle many inherited diseases, and understand what makes us unique among animals. But things didn’t turn out that way. For a start, we turned out to have far fewer genes than originally thought – just over 20,000, the same sort of number as a fruit fly or worm. What’s more, the proportion of DNA consisting of genes coding for proteins was a mere 2%.
In the era of "big data," science is increasingly information driven, and the potential for computers to store, manage, and integrate massive amounts of data has given rise to such new disciplinary fields as biomedical informatics. Applied ontology offers a strategy for the organization of scientific information in computer-tractable form, drawing on concepts not only from computer and information science but also from linguistics, logic, and philosophy. This book provides an introduction to the field of applied ontology that is of particular relevance to biomedicine, covering theoretical components of ontologies, best practices for ontology design, and examples of biomedical ontologies in use.A
The genetic revolution has provided incredibly valuable information about our DNA, information that can be used to benefit and inform – but also to judge, discriminate, and abuse. An essential reference for living in today’s world, this book gives the background information critical to understanding how genetics is now affecting our everyday lives. Written in clear, lively language, it gives a comprehensive view of exciting recent discoveries and explores the ethical, legal, and social issues that have arisen with each new development.
This book will first take you through the evolution of Splunk and how it fits into an organization’s architectural roadmap. Master advanced search topics and explore in-depth methods to leverage Splunk tables, charts, fields, and other cases. As we advance through the chapters, you will master the best practices of values and lookups, indexes, business effective dashboards, and discover the cornerstones of how to evolve your current Splunk application and its monitoring capabilities. Finally, we round things off with the discussion of transactions from an enterprise perspective.
The latest edition of this highly successful textbook introduces the key techniques and concepts involved in cloning genes and in studying their expression and variation.The new edition features:Increased coverage of whole-genome sequencing technologies and enhanced treatment of bioinformatics.Clear, two-color diagrams throughout.A dedicated website including all figures.Noted for its outstanding balance between clarity of coverage and level of detail, this book provides anexcellent introduction to the fast moving world of molecular genetics.
Cassandra is a distributed database that stands out for its robust feature set and intuitive interface, while still providing the high availability and scalability of a distributed store.Build an efficient, scalable, fault-tolerant, and highly-available data layer into your application using CassandraAbout This BookLearn to install and use Cassandra from the ground upDesign rich schemas that capture the relationships between different data types using compound primary keysMaster the advanced features available in Cassandra 2.0
Now in its second edition, Forensic DNA Evidence Interpretation is the most comprehensive resource for DNA casework available today. Written by leaders in the fields of biology and statistics, including a contribution from Peter Gill, the father of DNA analysis, the book emphasizes the interpretation of test results and provides the necessary formulae in an easily accessible manner. This latest edition is fully updated and includes current and emerging techniques in this fast-moving field.The book begins by reviewing all pertinent biology, and then provides information on every aspect of DNA analysis.
Microarray Image and Data Analysis: Theory and Practice is a compilation of the latest and greatest microarray image and data analysis methods from the multidisciplinary international research community. Delivering a detailed discussion of the biological aspects and applications of microarrays, the book:Describes the key stages of image processing, gridding, segmentation, compression, quantification, and normalizationFeatures cutting-edge approaches to clustering, biclustering, and the reconstruction of regulatory networksCovers different types of microarrays such as DNA, protein, tissue, and low- and high-density oligonucleotide arraysExamines the current state of various microarray technologies, including their availability and affordabilityExplains how data generated by microarray experiments are analyzed to obtain meaningful biological conclusionsAn essential reference for academia and industry, Microarray Image and Data Analysis: Theory and Practice provides readers with valuable tools and techniques that extend to a wide range of biological studies and microarray platforms.
This book introduces advanced semantic web technologies, illustrating their utility and highlighting their implementation in biological, medical, and clinical scenarios. It covers topics ranging from database, ontology, and visualization to semantic web services and workflows.
This volume covers the latest protocols designed to identify and characterize TEs in genomes, ancient or recently inserted. Additionally, this book includes a series of protocols designed to understand how host genomes act to regulate the activity of TEs, from elegant genetic mobilization assays to key biochemical methods. Finally, this book also includes chapters that describe how TEs can be used for biotechnological applications. Written for the Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.
Authoritative and practical, Transposons and Retrotransposons: Methods and Protocols aims to ensure successful results in the further study of this vital field.
The authors explain at length the principles of chemical kinetics and approaches to computerized calculations in modern software suites ― mathcad and maple. Mathematics is crucial in determining correlations in chemical processes and requires various numerical approaches. Often significant issues with mathematical formalizations of chemical problems arise and many kinetic problems can´t be solved without computers. Numerous problems encountered in solving kinetics´ calculations with detailed descriptions of the numerical tools are given.
Advances in the biomedical sciences, especially genomics, proteomics, and metabolomics, taken together with the expanding use of electronic health records, are radically changing the IT infrastructure and software applications needed to support the transfer of knowledge from bench to bedside.
Showing all 15 results