Refine Results
Sort By
From
To
Page 1
Page 1
Circular RNAs
Guide readers through circular RNA purification, in silico characterization, circRNA detection, sequence validation, quantification , techniques related to gain- and loss-of-function approaches, circular RNA synthesis, split ligation, engineering, nanoparticle packaging, RNA modifications on circular RNA biogenesis, RNA translation potential, and vaccines based on circular RNAs.
Bioinformatics and the cell : Modern computational approaches in genomics, proteomics and transcriptomics
"Xuhua Xia’s Bioinformatics and the Cell is a welcome addition to the bourgeoning field of bioinformatics text books. Xia stakes out a too-often neglected middle ground in bioinformatics by presenting a work that emphasizes methods’ biological utility without eschewing algorithmic formalism. Readers will find a well-rounded presentation of bioinformatics techniques employed in genomics, transcriptomics and proteomics – unified throughout by the common theme of molecular evolution."
Building an Enterprise Architecture Practice : Tools, Tips, Best Practices, Ready-to-Use Insights
This book clearly describes how to establish an architecture practice that delivers value for an organization. The authors demonstrate a wealth of experience and a deep understanding of the multifaceted nature of this challenging task and they provide sound advice on how to avoid the many pitfalls that may be encountered along the way. Building an Enterprise Architecture Practice provides practical advice on how to develop your enterprise architecture practice.
Bioinformatics
In this textbook present mathematical models in bioinformatics and they describe the biological problems that inspire the computer science tools used to handle the enormous data sets involved. The first part of the book covers the mathematical and computational methods, while the practical applications are presented in the second part. The mathematical presentation is descriptive and avoids unnecessary formalism, and yet remains clear and precise. Emphasis is laid on motivation through biological problems and cross applications. Each of the four chapters in the first part is accompanied by exercises and problems to support an understanding of the techniques presented. Each of the six chapters of the second part is devoted to some specific application domain: sequence alignment, molecular phylogenetics and coalescence theory, genomics, proteomics, RNA, and DNA microarrays. Each chapter concludes with a problems and projects section, to deepen the reader's understanding and to allow for the design of derived methods. Many of the projects involve publicly available software and/or Web-based bioinformatics depositories. Finally, the book closes with a thorough bibliography, reaching from classic research results to very recent findings, providing many pointers for future research.Overall, this volume is ideally suited for a senior undergraduate or graduate course on bioinformatics, with a strong focus on its mathematical and computer science background.
Anatomy ontologies for bioinformatics : Principles and practice
This book provides a timely and first-of-its-kind collection of contributed chapters on anatomy ontologies. It is interdisciplinary in its approach, bringing together relevant expertise from computing and biomedical studies, and covering both theoretical and applied aspects, with an emphasis on newer work relevant to the emerging Semantic Web.
Algorithms in Bioinformatics : Theory and Implementation
Explores a comprehensive and insightful treatment of the practical application of bioinformatic algorithms in a variety of fields. Delivers a fulsome treatment of some of the main algorithms used to explain biological functions and relationships. It introduces readers to the art of algorithms in a practical manner which is linked with biological theory and interpretation. The book covers many key areas of bioinformatics, including global and local sequence alignment, forced alignment, detection of motifs, Sequence logos, Markov chains or information entropy. Other novel approaches are also described, such as Self-Sequence alignment, Objective Digital Stains (ODSs) or Spectral Forecast and the Discrete Probability Detector (DPD) algorithm. Readers will also benefit from the inclusion of: A detailed presentation of new methods, such as Self-sequence alignment, Objective Digital Stains and Spectral Forecast ; A treatment of sequence alignment, including local sequence alignment, global sequence alignment and forced sequence alignment with full implementations ; Discussions of position-specific weight matrices, including the count, weight, relative frequencies, and log-likelihoods matrices ; A detailed presentation of the methods related to Markov Chains as well as a description of their implementation in Bioinformatics and adjacent fields ; An examination of information and entropy, including sequence logos and explanations related to their meaning ; A chapter on philosophical transactions that allows the reader a broader view of the prediction process ; Extensive worked examples with detailed case studies that point out the meaning of different results
Algorithmic Aspects of Bioinformatics
Advances in bioinformatics and systems biology require improved computational methods for analyzing data, while progress in molecular biology is in turn influencing the development of computer science methods. This book introduces some key problems in bioinformatics, discusses the models used to formally describe these problems, and analyzes the algorithmic approaches used to solve them. After introducing the basics of molecular biology and algorithmics, Part I explains string algorithms and alignments; Part II details the field of physical mapping and DNA sequencing; and Part III examines the application of algorithmics to the analysis of biological data. Exciting application examples include predicting the spatial structure of proteins, and computing haplotypes from genotype data. This book describes topics in detail and presents formal models in a mathematically precise, yet intuitive manner, with many figures and chapter summaries, detailed derivations, and examples. It is well suited as an introduction into the field of bioinformatics, and will benefit students and lecturers in bioinformatics and algorithmics, while also offering practitioners an update on current research topics.
Becoming virtual : Knowledge management and transformation of the distributed organization
This book examines the capabilities needed to transform a globally distributed organization into a virtual organization (an organization that exists and operates across time and distance with the support of global communications technologies such as the Internet). It introduces techniques for definition of goals for virtualization, for monitoring progress toward virtualization and for studying the impact of virtualization on social uncertainty, knowledge sharing and knowledge transfer, organizational memory, transactive memory, communities of practice and organizational commitment, power and control. These techniques are applied in an extended case study of a development aid organization's attempts to use knowledge management for virtualization over a two year period. The multidisciplinary team of authors examines virtualization from points of view ranging from the organizational to the technological to the sociological and psychological.
Lateral Alignment of Epitaxial Quantum Dots
Accurate positioning of self-organized nanostructures on a substrate surface can be regarded as the Achilles’ heel of nanotechnology. This perception also applies to self-assembled semiconductor quantum dots. This book describes the full range of possible strategies to laterally align self-assembled quantum dots on a substrate surface, starting from pure self-ordering mechanisms and culminating with forced alignment by lithographic positioning. The text addresses both short- and long-range ordering phenomena and paves the way for the future high integration of single quantum dot devices on a single chip. Contributions by the best-known experts in this field ensure that all relevant quantum-dot heterostructures are elucidated from diverse relevant perspectives.
Bio-informatique moléculaire : Une approche algorithmique = Molecular bioinformatics : An algorithmic approach
Deals with genetic maps, from the problem of sequence comparison and alignment, including DNA chips and genomic rearrangement. It thus covers a wide variety of topics relating to algorithmic and combinatorial processing of questions arising from molecular bioinformatics and biotechnology.
Algorithms for Approximation ; Proceedings of the 5th International Conference, Chester, July 2005
Approximation methods are vital in many challenging applications of computational science and engineering. This is a collection of papers from world experts in a broad variety of relevant applications.
African Cultural Astronomy : Current Archaeoastronomy and Ethnoastronomy research in Africa
Astronomy is the science of studying the sky using telescopes and light collectors such as photographic plates or CCD detectors. However, people have always studied the sky and continue to study the sky without the aid of instruments this is the realm of cultural astronomy. This is the first scholarly collection of articles focused on the cultural astronomy of Africans. It weaves together astronomy, anthropology, and Africa. The volume includes African myths and legends about the sky, alignments to celestial bodies found at archaeological sites and at places of worship, rock art with celestial imagery, and scientific thinking revealed in local astronomy traditions including ethnomathematics and the creation of calendars. Authors include astronomers Kim Malville, Johnson Urama, and Thebe Medupe; archaeologist Felix Chami, and geographer Michael Bonine, and many new authors.
