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  • Bioinformatics Data Skills : Reproducible and Robust Research with Open Source Tools
    Bioinformatics Data Skills : Reproducible and Robust Research with Open Source Tools

    Learn the data skills necessary for turning large sequencing datasets into reproducible and robust biological findings.With this practical guide, you'll learn how to use freely available open source tools to extract meaning from large complex biological data sets.At no other point in human history has our ability to understand life's complexities been so dependent on our skills to work with and analyze data.This intermediate-level book teaches the general computational and data skills you need to analyze biological data.If you have experience with a scripting language like Python, you're ready to get started.Go from handling small problems with messy scripts to tackling large problems with clever methods and tools Process bioinformatics data with powerful Unix pipelines and data tools Learn how to use exploratory data analysis techniques in the R language Use efficient methods to work with genomic range data and range operations Work with common genomics data file formats like FASTA, FASTQ, SAM, and BAM Manage your bioinformatics project with the Git version control system Tackle tedious data processing tasks with with Bash scripts and Makefiles

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  • Big Data for the Public Good : Regulating Access to Public Sector Big Data for Research and Innovation
    Big Data for the Public Good : Regulating Access to Public Sector Big Data for Research and Innovation

    Can researchers and innovators use UK public sector data to produce knowledge that improves policy making, scrutinises government work and promotes the public interest?This book looks at interactions between UK public sector officials and researchers/innovators to shed light on barriers to data access and use.It asks: what are the frameworks that govern access to public sector big datasets for researchers and innovators?How are these frameworks applied in practice? What are the governance solutions for policy makers interested in harnessing the untapped potential of public sector big data to improve their policies and create public benefit?Public sector data is a valuable resource that can help researchers and innovators create knowledge and solutions that benefit society.As public bodies collect increasingly more data about us, UK policy makers try to maximise the use of public sector big data for the benefit of the public.But accessing this data is not easy. There are many legal, technical, and ethical barriers that prevent the use of public sector data for research and innovation.This book is for researchers and innovators who want to understand and overcome the barriers to accessing UK public sector data.It is also for policy makers who are interested in how public sector data can be used to improve decision-making, scrutinise government work, and promote the public interest.

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  • Managing Cloud Native Data on Kubernetes : Architecting Cloud Native Data Services Using Open Source Technology
    Managing Cloud Native Data on Kubernetes : Architecting Cloud Native Data Services Using Open Source Technology

    Kubernetes has become the primary platform for deploying and managing cloud native applications.But because it was originally designed for stateless workloads, working with data on Kubernetes has been challenging.If you want to avoid the inefficiencies and duplicative costs of having separate infrastructure for applications and data, this practical guide can help. Using Kubernetes as your platform, you'll discover open source technologies that are designed and built for the cloud.Delve into case studies to avoid the pitfalls others have faced and explore new use cases.Get an insider's view of what's coming from the innovators who are creating next-generation architectures and infrastructure. And you'll learn how to: Manage different data use cases on Kubernetes Reduce costs and simplify application development Leverage data and infrastructure to create new use cases and business models Make data infrastructure choices that are cost-efficient, secure, scalable, and elastic And more

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  • Open Source Software for Statistical Analysis of Big Data : Emerging Research and Opportunities
    Open Source Software for Statistical Analysis of Big Data : Emerging Research and Opportunities

    With the development of computing technologies in today's modernized world, software packages have become easily accessible.Open source software, specifically, is a popular method for solving certain issues in the field of computer science.One key challenge is analyzing big data due to the high amounts that organizations are processing.Researchers and professionals need research on the foundations of open source software programs and how they can successfully analyze statistical data. Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python.Featuring coverage on a broad range of topics such as cluster analysis, time series forecasting, and machine learning, this book is ideally designed for researchers, developers, practitioners, engineers, academicians, scholars, and students who want to more fully understand in a brief and concise format the realm and technologies of open source software for big data and how it has been used to solve large-scale research problems in a multitude of disciplines.

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  • Is Dewiki a scholarly source for the seminar paper?

    No, Dewiki is not a scholarly source for the seminar paper. Dewiki is the German-language version of Wikipedia, which is a collaborative online encyclopedia that can be edited by anyone. While Wikipedia can be a useful starting point for research, it is not considered a scholarly source because the information is not always verified or written by experts in the field. It is important to use scholarly sources such as academic journals, books, and reputable websites for a seminar paper to ensure the accuracy and reliability of the information.

  • Does market research hinder innovation in business administration?

    Market research does not necessarily hinder innovation in business administration. In fact, it can provide valuable insights into consumer needs and preferences, helping businesses to develop innovative products and services that meet market demands. By understanding market trends and customer behavior, businesses can identify opportunities for innovation and stay ahead of competitors. However, relying too heavily on market research without allowing room for creativity and risk-taking can limit the potential for groundbreaking innovations. It is important for businesses to strike a balance between leveraging market research and fostering a culture of innovation to drive success in business administration.

  • 'Express or custom?'

    The decision between express and custom depends on the specific needs and priorities of the situation. Express options are often quicker and more convenient, but may be limited in terms of flexibility and personalization. Custom options, on the other hand, take more time and effort to create, but offer the ability to tailor the product or service to specific requirements. Ultimately, the choice between express and custom comes down to balancing time, convenience, and the level of personalization needed.

  • How can I express that I am open to criticism?

    You can express that you are open to criticism by actively seeking feedback from others, being receptive to different perspectives, and showing a willingness to learn and improve. You can also communicate that you value constructive criticism and that you are open to receiving it in order to grow and develop. Additionally, you can demonstrate humility and a willingness to acknowledge your own mistakes and shortcomings, showing that you are open to feedback and willing to make changes based on it.

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  • Open Source Software for Statistical Analysis of Big Data : Emerging Research and Opportunities
    Open Source Software for Statistical Analysis of Big Data : Emerging Research and Opportunities

    With the development of computing technologies in today's modernized world, software packages have become easily accessible.Open source software, specifically, is a popular method for solving certain issues in the field of computer science.One key challenge is analyzing big data due to the high amounts that organizations are processing.Researchers and professionals need research on the foundations of open source software programs and how they can successfully analyze statistical data. Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python.Featuring coverage on a broad range of topics such as cluster analysis, time series forecasting, and machine learning, this book is ideally designed for researchers, developers, practitioners, engineers, academicians, scholars, and students who want to more fully understand in a brief and concise format the realm and technologies of open source software for big data and how it has been used to solve large-scale research problems in a multitude of disciplines.

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  • Don't Open It! - Express Edition
    Don't Open It! - Express Edition

    When two friends open the door to a library, a clawed hand pulls them inside!They awaken in a strange nest that is filled with giant eggs.When one of the eggs begins to hatch, they hurry to hide from whatever creature may emerge.A shadowy beast with a taste for voracious readers has its hungry eyes on them.

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  • Holiday Inn Express Qingdao Innovation Park, an IHG Hotel
    Holiday Inn Express Qingdao Innovation Park, an IHG Hotel


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  • Open Access and the Future of Scholarly Communication : Policy and Infrastructure
    Open Access and the Future of Scholarly Communication : Policy and Infrastructure

    It is impossible to imagine the future of academic libraries without an extensive consideration of open access—the removal of price and permission barriers from scholarly research online. As textbook and journal subscription prices continue to rise, improvements in technology make online dissemination of scholarship less expensive, and faculty recognize the practical and philosophical appeal of making their work available to wider audiences.As a consequences, libraries have begun to consider a wide variety of open access “flavors” and business models. These new possibilities have significant impact on both library services and collection policies, and the call for new skills within library staffing.Volume 9 of the series Creating the 21st-Century Academic Library is the first of two addressing the topic of open access in academic libraries and focuses on policy and infrastructure for libraries that wish to provide leadership on their campus in the transition to more open forms of scholarship. Chapters in the book discuss how to make the case for open access on campus, as well as the political and policy implications of libraries that themselves want to become publishing entities.Infrastructure issues are also addressed including metadata standards and research management services.Also considered here is how interlibrary loan, preservation and the library’s role in providing textbooks, support the concept of open access. It is hoped that this volume, and the series in general, will be a valuable and exciting addition to the discussions and planning surrounding the future directions, services, and careers in the 21st-century academic library.

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  • How do you express the counting rate of a radiation source in physics?

    The counting rate of a radiation source in physics is typically expressed as the number of radiation events detected per unit time. This is often measured in counts per second (cps) or counts per minute (cpm). To calculate the counting rate, a radiation detector is used to measure the number of radiation events occurring over a specific time period, and then this count is divided by the duration of the measurement to obtain the counting rate. This measurement is important for understanding the intensity and activity of the radiation source.

  • Can you honestly express your opinion on an open house day?

    Yes, you can honestly express your opinion on an open house day. Open house events are designed for potential buyers or renters to view a property and provide feedback. Your honest opinion can help the seller or landlord understand what aspects of the property are appealing and what areas may need improvement. However, it's important to express your opinion respectfully and constructively to ensure a positive and productive experience for all parties involved.

  • Can DHL Express Amazon Evening Express be sent to a Packstation?

    No, DHL Express Amazon Evening Express cannot be sent to a Packstation. This service is specifically designed for evening delivery to residential addresses and cannot be delivered to Packstations or other DHL service points. Customers who choose this service can expect their packages to be delivered directly to their specified residential address during the evening hours.

  • Doesn't DHL Express deliver?

    Yes, DHL Express is a global courier and logistics company that provides international shipping services. They offer door-to-door delivery for packages and documents to over 220 countries and territories worldwide. DHL Express is known for its fast and reliable delivery service, making it a popular choice for individuals and businesses looking to send items internationally.

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