How grids paved the way for our biological understanding of organisms As one of the most visual sciences, biology has an aesthetic dimension that lends force and persuasion to scientific arguments: how things are arranged on a page, how texts are interspersed with images, and how images are composed reflect deep-seated beliefs about how life exists on Earth. Biology in the Grid traces how our current understanding of life and genetics emerged from the pervasive nineteenth- and twentieth-century graphic form of the grid, which allowed disparate pieces of information to form what media theorist Vilém Flusser called “technical images.” Phillip Thurtle explains how the grid came to dominate biology in the twentieth century, transforming biologists’ beliefs about how organisms were constructed. He demonstrates how this shift in our understanding of biological grids enabled new philosophies in endeavors such as advertising, entertainment, and even political theory. The implications of the arguments in Biology in the Grid are profound, touching on matters as fundamental as desire, our understanding of our bodies, and our view of how society is composed. Moreover, Thurtle’s beautifully written, tightly focused arguments allow readers to apply his claims to new disciplines and systems. Bristling with insight and potential, Biology in the Grid ultimately suggests that such a grid-organized understanding of natural life inevitably has social and political dimensions, with society recognized as being made of interchangeable, regulated parts rather than as an organic whole.

The book constitutes the refereed proceedings of the International Workshop on Distributed, High-Performance and Grid Computing in Computational Biology, GCCB 2006, held in Eilat, Israel in January 2007 in conjunction with the 5th European Conference on Computational Biology, ECCB 2006. The 13 revised full papers presented were carefully reviewed and selected from many high quality submissions.

The only single, up-to-date source for Grid issues in bioinformatics and biology Bioinformatics is fast emerging as an important discipline for academic research and industrial applications, creating a need for the use of Grid computing techniques for large-scale distributed applications. This book successfully presents Grid algorithms and their real-world applications, provides details on modern and ongoing research, and explores software frameworks that integrate bioinformatics and computational biology. Additional coverage includes: * Bio-ontology and data mining * Data visualization * DNA assembly, clustering, and mapping * Molecular evolution and phylogeny * Gene expression and micro-arrays * Molecular modeling and simulation * Sequence search and alignment * Protein structure prediction * Grid infrastructure, middleware, and tools for bio data Grid Computing for Bioinformatics and Computational Biology is an indispensable resource for professionals in several research and development communities including bioinformatics, computational biology, Grid computing, data mining, and more. It also serves as an ideal textbook for undergraduate- and graduate-level courses in bioinformatics and Grid computing.

Researchers in the ?eld of life sciences rely increasingly on information te- nology to extract and manage relevant knowledge. The complex computational and data management needs of life science research make Grid technologies an attractive support solution. However, many important issues must be addressed before the Life Science Grid becomes commonplace. The 1st International Life Science Grid Workshop (LSGRID 2004) was held in Kanazawa Japan, May 31–June 1, 2004. This workshop focused on life s- ence applications of grid systems especially for bionetwork research and systems biology which require heterogeneous data integration from genome to phenome, mathematical modeling and simulation from molecular to population levels, and high-performance computing including parallel processing, special hardware and grid computing. Fruitful discussions took place through 18 oral presentations, including a keynote address and ?ve invited talks, and 16 poster and demonstration p- sentations in the ?elds of grid infrastructure for life sciences, systems biology, massive data processing, databases and data grids, grid portals and pipelines for functional annotation, parallel and distributed applications, and life science grid projects. The workshop emphasized the practical aspects of grid techno- gies in terms of improving grid-enabled data/information/knowledge sharing, high-performance computing, and collaborative projects. There was agreement among the participants that the advancement of grid technologies for life science research requires further concerted actions and promotion of grid applications. We therefore concluded the workshop with the announcement of LSGRID 2005.

This is the second volume in the series of proceedings from the International Workshop on Life Science Grid. It represents the few, if not the only, dedicated proceedings volumes that gathers together the presentations of leaders in the emerging sub-discipline of grid computing for the life sciences.The volume covers the latest developments, trends and trajectories in life science grid computing from top names in bioinformatics and computational biology: A Konagaya; J C Wooley of the National Science Foundation (NSF) and DoE thought leader in supercomputing and life science computing, and one of the key people in the NSF CIBIO initiative; P Arzberger of PRAGMA fame; and R Sinnott of UK e-Science.

Unter "Grid Computing" versteht man die gleichzeitige Nutzung vieler Computer in einem Netzwerk für die Lösung eines einzelnen Problems. Grundsätzliche Aspekte und anwendungsbezogene Details zu diesem Gebiet finden Sie in diesem Band. - Grid Computing ist ein viel versprechender Trend, denn man kann damit (1) vorhandene Computer-Ressourcen kosteneffizient nutzen, (2) Probleme lösen, für die enorme Rechenleistungen erforderlich sind, und (3) Synergieeffekte erzielen, auch im globalen Maßstab - Ansatz ist in Forschung und Industrie (IBM, Sun, HP und andere) zunehmend populär (aktuelles Beispiel: Genomforschung) - Buch deckt Motivationen zur Einführung von Grids ebenso ab wie technologische Grundlagen und ausgewählte Beispiele für moderne Anwendungen

The distributed computing infrastructure known as ‘the Grid’ has undoubtedly been one of the most successful science-oriented large- scale IT projects of the past 20 years. It is now a fully operational international entity, encompassing several hundred computing sites on all continents and giving access to hundreds of thousands of CPU (central processing unit) cores and hundreds of petabytes of storage, all connected by robust national and international scientific networks. It has evolved to become the main computational platform many scientific communities. This book presents lectures from the Enrico Fermi International School of Physics summer school Grid and Cloud computing: Concepts and Practical Applications, held in Varenna, Italy, in July 2014. The school aimed to cover the conceptual and practical aspects of both the Grid and Cloud computing. The proceedings included here are divided into eight chapters, with chapters 1, 2, 3 and 8 covering general applications of Grid and Cloud computing in various scientific fields, while chapters 4, 5, 6 and 7 discuss specific technical areas of Grid and Cloud structures. The book will be of interest to all those whose work involves the use of the Grid or Cloud computing.

Fred Van Dyke’s new textbook, Conservation Biology: Foundations, Concepts, Applications, 2nd Edition, represents a major new text for anyone interested in conservation. Drawing on his vast experience, Van Dyke’s organizational clarity and readable style make this book an invaluable resource for students in conservation around the globe. Presenting key information and well-selected examples, this student-friendly volume carefully integrates the science of conservation biology with its implications for ethics, law, policy and economics.

Aimed at postgraduate students in a variety of biology-related disciplines, this volume presents a collection of mathematical and computational single-cell-based models and their application. The main sections cover four general model groupings: hybrid cellular automata, cellular potts, lattice-free cells, and viscoelastic cells. Each section is introduced by a discussion of the applicability of the particular modelling approach and its advantages and disadvantages, which will make the book suitable for students starting research in mathematical biology as well as scientists modelling multicellular processes.

"This book provides methodologies and developments of grid technologies applied in different fields of life sciences"--Provided by publisher.