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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
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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Wifi Communication Module APP RemoteControl Open Source PowerSupply Power WiFi Module
Features: Use metal materials with highs quality. Only one wifi module is need to realize communication in local area networkings, and the external networkings control and viewings. Support multimachine communication. Local area networkings communication. Convenient applications and wide applications. Specifications: Material:PCB Note: Please allow 1mm errors due to manual measurement. Due to the fferences between fferent monitors, the picture may not reflect the actual color. Package includes: 1x Wifi Module
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IP67 Waterproof Semiconductor Fingerprint TTLock App Control Bluetooth V4.0 Smartphone App Access
IP67 Waterproof Semiconductor Fingerprint TTLock App Control Bluetooth V4.0 Smartphone App Access
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Which app allows access to app data without root?
One app that allows access to app data without root is Helium - App Sync and Backup. Helium allows users to backup and sync app data to a cloud storage service or to a computer without requiring root access. This app is useful for users who want to transfer app data to a new device or simply want to backup their app data for safekeeping. Helium is available for both Android and iOS devices.
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How does the app illegally access my data?
The app illegally accesses your data by circumventing your privacy settings and permissions. It may use hidden code or malware to gain unauthorized access to your device's data, such as contacts, messages, or location information. Additionally, the app may collect and transmit your data to third parties without your consent, violating privacy laws and regulations. This unauthorized access puts your personal information at risk of being misused or exploited.
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How can one rewrite app data without root access?
One way to rewrite app data without root access is to use the Android Debug Bridge (ADB) tool. ADB allows you to connect your Android device to a computer and access its file system. With ADB, you can use the "adb backup" and "adb restore" commands to back up and restore app data without needing root access. Another method is to use third-party apps that allow you to access and modify app data without root access, such as Helium or MyBackup. These apps use a combination of ADB and their own tools to backup and restore app data without requiring root permissions.
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Can I access the data of an app on iOS?
No, you cannot directly access the data of an app on iOS unless the app provides a specific feature or functionality to export or share data. iOS is designed with strict security measures to protect user data and privacy, so accessing app data without proper authorization is not possible. If you need to access specific data from an app, you may need to use the app's built-in features or contact the app developer for assistance.
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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
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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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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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 can one sell access data for a driving school app?
Selling access data for a driving school app would involve obtaining permission from the driving school to access their student database and then selling that data to interested parties. This could be done through a formal agreement with the driving school, where they receive a portion of the proceeds from the sale. It's important to ensure that the data is handled and sold in compliance with data protection laws and regulations, and that the privacy of the students is respected. Additionally, potential buyers would need to be identified and approached to gauge their interest in purchasing the access data.
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'Can't open the app?'
If you are unable to open the app, there may be a few reasons why this is happening. First, make sure that your device is connected to the internet and that the app is fully updated. If the app still won't open, try restarting your device or reinstalling the app. If the issue persists, you may want to contact the app's customer support for further assistance.
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Can you please help me access the app data of another user?
I'm sorry, but I cannot help you access the app data of another user. Accessing someone else's app data without their permission would be a violation of their privacy and could potentially be illegal. It's important to respect the privacy and security of others' personal information. If you need access to specific app data for a legitimate reason, I would recommend reaching out to the user directly and asking for their permission.
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Which app displays technical data?
An app that displays technical data is often referred to as a technical data app. These apps are designed to provide users with detailed technical information about various subjects such as engineering, science, computer programming, and more. They can display data in the form of charts, graphs, tables, and other visual representations to help users understand complex technical concepts. Some popular technical data apps include MATLAB, Tableau, and Microsoft Power BI.
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