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Author: Geraldine A. Van der Auwera
Publisher: O'Reilly Media
ISBN: 1491975164
Category : Computers
Languages : en
Pages : 496
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Book Description
Data in the genomics field is booming. In just a few years, organizations such as the National Institutes of Health (NIH) will host 50+ petabytes—or over 50 million gigabytes—of genomic data, and they’re turning to cloud infrastructure to make that data available to the research community. How do you adapt analysis tools and protocols to access and analyze that volume of data in the cloud? With this practical book, researchers will learn how to work with genomics algorithms using open source tools including the Genome Analysis Toolkit (GATK), Docker, WDL, and Terra. Geraldine Van der Auwera, longtime custodian of the GATK user community, and Brian O’Connor of the UC Santa Cruz Genomics Institute, guide you through the process. You’ll learn by working with real data and genomics algorithms from the field. This book covers: Essential genomics and computing technology background Basic cloud computing operations Getting started with GATK, plus three major GATK Best Practices pipelines Automating analysis with scripted workflows using WDL and Cromwell Scaling up workflow execution in the cloud, including parallelization and cost optimization Interactive analysis in the cloud using Jupyter notebooks Secure collaboration and computational reproducibility using Terra
Author: Geraldine A. Van der Auwera
Publisher: O'Reilly Media
ISBN: 1491975164
Category : Computers
Languages : en
Pages : 496
Get Book Here
Book Description
Data in the genomics field is booming. In just a few years, organizations such as the National Institutes of Health (NIH) will host 50+ petabytes—or over 50 million gigabytes—of genomic data, and they’re turning to cloud infrastructure to make that data available to the research community. How do you adapt analysis tools and protocols to access and analyze that volume of data in the cloud? With this practical book, researchers will learn how to work with genomics algorithms using open source tools including the Genome Analysis Toolkit (GATK), Docker, WDL, and Terra. Geraldine Van der Auwera, longtime custodian of the GATK user community, and Brian O’Connor of the UC Santa Cruz Genomics Institute, guide you through the process. You’ll learn by working with real data and genomics algorithms from the field. This book covers: Essential genomics and computing technology background Basic cloud computing operations Getting started with GATK, plus three major GATK Best Practices pipelines Automating analysis with scripted workflows using WDL and Cromwell Scaling up workflow execution in the cloud, including parallelization and cost optimization Interactive analysis in the cloud using Jupyter notebooks Secure collaboration and computational reproducibility using Terra
Author: Mostapha Zbakh
Publisher: Springer
ISBN: 3319977199
Category : Technology & Engineering
Languages : en
Pages : 406
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Book Description
This book addresses topics related to cloud and Big Data technologies, architecture and applications including distributed computing and data centers, cloud infrastructure and security, and end-user services. The majority of the book is devoted to the security aspects of cloud computing and Big Data. Cloud computing, which can be seen as any subscription-based or pay-per-use service that extends the Internet’s existing capabilities, has gained considerable attention from both academia and the IT industry as a new infrastructure requiring smaller investments in hardware platforms, staff training, or licensing software tools. It is a new paradigm that has ushered in a revolution in both data storage and computation. In parallel to this progress, Big Data technologies, which rely heavily on cloud computing platforms for both data storage and processing, have been developed and deployed at breathtaking speed. They are among the most frequently used technologies for developing applications and services in many fields, such as the web, health, and energy. Accordingly, cloud computing and Big Data technologies are two of the most central current and future research mainstreams. They involve and impact a host of fields, including business, scientific research, and public and private administration. Gathering extended versions of the best papers presented at the Third International Conference on Cloud Computing Technologies and Applications (CloudTech’17), this book offers a valuable resource for all Information System managers, researchers, students, developers, and policymakers involved in the technological and application aspects of cloud computing and Big Data.
Author: Lenart-Gansiniec, Regina
Publisher: IGI Global
ISBN: 1522542019
Category : Business & Economics
Languages : en
Pages : 339
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Book Description
In an era of an economy based on knowledge and Web 2.0 technology, knowledge is the foundation for improving the decision-making processes and relations between people both in and outside of an organization. Providing new and unique sources of knowledge outside organizations enables innovation and shapes competitive advantage. Crowdsourcing and Knowledge Management in Contemporary Business Environments is a collection of innovative research on the methods and applications of crowdsourcing in collaboration, idea implementation, and organizational development. Highlighting a range of topics including data analytics, crowd computing, and open innovation, this book is ideally designed for business managers, business professionals, business and social researchers, graduate-level students, and academicians seeking current research on the mechanisms of knowledge management in crowdsourcing.
Author: Mark P. Mills
Publisher: Encounter Books
ISBN: 164177231X
Category : Business & Economics
Languages : en
Pages : 397
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Book Description
The conventional wisdom on how technology will change the future is wrong. Mark Mills lays out a radically different and optimistic vision for what’s really coming. The mainstream forecasts fall into three camps. One considers today as the “new normal,” where ordering a ride or food on a smartphone or trading in bitcoins is as good as it’s going to get. Another foresees a dystopian era of widespread, digitally driven job- and business-destruction. A third believes that the only technological revolution that matters will be found with renewable energy and electric cars. But according to Mills, a convergence of technologies will instead drive an economic boom over the coming decade, one that historians will characterize as the “Roaring 2020s.” It will come not from any single big invention, but from the confluence of radical advances in three primary technology domains: microprocessors, materials, and machines. Microprocessors are increasingly embedded in everything. Materials, from which everything is built, are emerging with novel, almost magical capabilities. And machines, which make and move all manner of stuff, are undergoing a complementary transformation. Accelerating and enabling all of this is the Cloud, history’s biggest infrastructure, which is itself based on the building blocks of next-generation microprocessors and artificial intelligence. We’ve seen this pattern before. The technological revolution that drove the great economic expansion of the twentieth century can be traced to a similar confluence, one that was first visible in the 1920s: a new information infrastructure (telephony), new machines (cars and power plants), and new materials (plastics and pharmaceuticals). Single inventions don’t drive great, long-cycle booms. It always takes convergent revolutions in technology’s three core spheres—information, materials, and machines. Over history, that’s only happened a few times. We have wrung much magic from the technologies that fueled the last long boom. But the great convergence now underway will ignite the 2020s. And this time, unlike any previous historical epoch, we have the Cloud amplifying everything. The next long boom starts now.
![Taking [A]part PDF](https://books.google.com/books/content/images/frontcover/VMEIEQAAQBAJ?fife=w80-h100)
Author: John McCarthy
Publisher: MIT Press
ISBN: 0262552590
Category : Computers
Languages : en
Pages : 202
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Book Description
A critical inquiry into the value and experience of participation in design research. In Taking [A]part, John McCarthy and Peter Wright consider a series of boundary-pushing research projects in human-computer interaction (HCI) in which the design of digital technology is used to inquire into participative experience. McCarthy and Wright view all of these projects—which range from the public and performative to the private and interpersonal—through the critical lens of participation. Taking participation, in all its variety, as the generative and critical concept allows them to examine the projects as a part of a coherent, responsive movement, allied with other emerging movements in DIY culture and participatory art. Their investigation leads them to rethink such traditional HCI categories as designer and user, maker and developer, researcher and participant, characterizing these relationships instead as mutually responsive and dialogical. McCarthy and Wright explore four genres of participation—understanding the other, building relationships, belonging in community, and participating in publics—and they examine participatory projects that exemplify each genre. These include the Humanaquarium, a participatory musical performance; the Personhood project, in which a researcher and a couple explored the experience of living with dementia; the Prayer Companion project, which developed a technology to inform the prayer life of cloistered nuns; and the development of social media to support participatory publics in settings that range from reality game show fans to on-line deliberative democracies.
Author: Keri E. Pearlson
Publisher: John Wiley & Sons
ISBN: 1394215444
Category : Computers
Languages : en
Pages : 370
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Book Description
Provides the knowledge and insights necessary to contribute to the Information Systems decision-making process Managing & Using Information Systems: A Strategic Approach delivers a solid knowledgebase of basic concepts to help MBA students and general business managers alike become informed, competent participants in Information Systems (IS) decisions. Now in its eighth edition, this fully up-to-date textbook explains the fundamental principles and practices required to use and manage information while illustrating how information systems can create or obstruct opportunities — and even propel digital transformations within a wide range of organizations. Drawing from their expertise in both academia and industry, the authors discuss the business and design processes relevant to IS while presenting a basic framework that connects business strategy, IS strategy, and organizational strategy. Step by step, readers are guided through each essential aspect of Information Systems, from fundamental information architecture and infrastructure to cyber security, Artificial Intelligence (AI), business analytics, project management, platform and IS governance, IS sourcing, and more. Detailed chapters contain mini-cases, full-length case studies, discussion topics, review questions, supplemental readings, and topic-specific managerial concerns that provide insights into real-world IS issues. Managing & Using Information Systems: A Strategic Approach, Eighth Edition, is an excellent textbook for advanced undergraduate and MBA-level courses on IS concepts and managerial approaches to leveraging emerging information technologies.
Author: Seng W. Loke
Publisher: Springer
ISBN: 3319544365
Category : Computers
Languages : en
Pages : 71
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Book Description
This SpringerBrief provides a synergistic overview of technology trends by emphasizing five linked perspectives: crowd+cloud machines, extreme cooperation with smart things, scalable context-awareness, drone services for mobile crowds and social links in mobile crowds. The authors also highlight issues and challenges at the intersection of these trends. Topics covered include cloud computing, Internet of Things, mobile and wearable computing, crowd computing, the culture of thing sharing, collective computing, and swarm dynamics. The brief is a useful resource and a starting point for researchers, students or anyone interested in the contemporary computing landscape.
Author: Gregory A. Freeman
Publisher: St. Martin's Press
ISBN: 0230100546
Category : History
Languages : en
Pages : 280
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Book Description
The gripping account of the riot aboard the USS Kitty Hawk—and the first mutiny in U.S. Naval history In 1972, the United States was embroiled in an unpopular war in Vietnam, and the USS Kitty Hawk was headed to her station in the Gulf of Tonkin. Its five thousand men, cooped up for the longest at-sea tour of the war, rioted--or, as Troubled Water suggests, mutinied. Disturbingly, the lines were drawn racially, black against white. By the time order was restored, careers were in tatters. Although the incident became a turning point for race relations in the Navy, this story remained buried within U.S. Navy archives for decades. With action pulled straight from a high-seas thriller, Gregory A. Freeman uses eyewitness accounts and a careful and unprecedented examination of the navy's records to refute the official story of the incident, make a convincing case for the U.S. navy's first mutiny, and shed new light on this seminal event in American history.
Author: C. Catlett
Publisher: IOS Press
ISBN: 161499322X
Category : Computers
Languages : en
Pages : 260
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Book Description
Cloud computing offers many advantages to researchers and engineers who need access to high performance computing facilities for solving particular compute-intensive and/or large-scale problems, but whose overall high performance computing (HPC) needs do not justify the acquisition and operation of dedicated HPC facilities. There are, however, a number of fundamental problems which must be addressed, such as the limitations imposed by accessibility, security and communication speed, before these advantages can be exploited to the full. This book presents 14 contributions selected from the International Research Workshop on Advanced High Performance Computing Systems, held in Cetraro, Italy, in June 2012. The papers are arranged in three chapters. Chapter 1 includes five papers on cloud infrastructures, while Chapter 2 discusses cloud applications. The third chapter in the book deals with big data, which is nothing new – large scientific organizations have been collecting large amounts of data for decades – but what is new is that the focus has now broadened to include sectors such as business analytics, financial analyses, Internet service providers, oil and gas, medicine, automotive and a host of others. This book will be of interest to all those whose work involves them with aspects of cloud computing and big data applications.
Author: Cristian Borcea
Publisher: CRC Press
ISBN: 1315352419
Category : Computers
Languages : en
Pages : 207
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Book Description
Mobile crowdsensing is a technology that allows large scale, cost-effective sensing of the physical world. In mobile crowdsensing, mobile personal devices such as smart phones or smart watches come equipped with a variety of sensors that can be leveraged to collect data related to environment, transportation, healthcare, safety and so on. This book presents the first extensive coverage of mobile crowdsensing, with examples and insights drawn from the authors’ extensive research on this topic as well as from the research and development of a growing community of researchers and practitioners working in this emerging field. Throughout the text, the authors provide the reader with various examples of crowdsensing applications and the building blocks to creating the necessary infrastructure, explore the related concepts of mobile sensing and crowdsourcing, and examine security and privacy issues introduced by mobile crowdsensing platforms. Provides a comprehensive description of mobile crowdsensing, a one-stop shop for all relevant issues pertaining to mobile crowdsensing, including motivation, applications, design and implementation, incentive mechanisms, and reliability and privacy. Describes the design and implementations of mobile crowdsensing platforms of great interest for the readers working in research and industry to quickly implement and test their systems. Identifies potential issues in building such mobile crowdsensing applications to ensure their usability in real life and presents future directions in mobile crowdsensing by emphasizing the open problems that have to be addressed.
