Products related to Custom:
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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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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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'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.
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How can I recover data from Samsung with Custom ROM?
To recover data from a Samsung device with a custom ROM, you can use a data recovery software that is compatible with custom ROMs. Connect your Samsung device to your computer and run the data recovery software to scan for lost or deleted files. Once the scan is complete, you can preview the recoverable data and select the files you want to recover. Make sure to follow the instructions provided by the data recovery software to ensure a successful recovery process. Keep in mind that using data recovery software on a device with a custom ROM may have limitations, so it's important to choose a reliable and trusted software for the best results.
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What is the term for the validation of custom data?
The term for the validation of custom data is "data validation." Data validation is the process of ensuring that data is accurate, complete, and meets certain criteria before it is used for any purpose. This can involve checking for errors, inconsistencies, and verifying that the data conforms to specific standards or requirements. Data validation is an important step in maintaining data quality and integrity.
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How can I install a custom recovery without losing data?
To install a custom recovery without losing data, you can use a tool like Flashify or Rashr to install the custom recovery without wiping your data. These tools allow you to flash the custom recovery image without affecting your existing data. However, it's important to note that there is always a risk when modifying system files, so it's recommended to back up your data before attempting to install a custom recovery. Additionally, make sure to follow the instructions carefully and ensure that the custom recovery is compatible with your device model.
Similar search terms for Custom:
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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.
Price: 190.00 £ | Shipping*: 0.00 £ -
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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Scholarly Editing : A Guide to Research
This collection of twenty-six essays, written by acknowledged experts in literary studies, surveys the history of scholarly editing, describes the major research in a variety of disciplines, summarizes the resources available to scholars, and analyzes the issues currently facing textual editors. The book begins with an overview of scholarly editing, followed by four essays on the long tradition of editing the Bible and the Greek and Latin classics.The next cluster of essays proceeds through the major periods of British and American literature, from medieval to modern, further subdividing the Renaissance and the nineteenth century by genre and including a chapter devoted to Shakespeare.Additional essays cover other European literatures: French (Old French and early modern), Italian, medieval Spanish, German, and Russian.The concluding essays discuss representative non-European literatures and the “nonliterary” editing of folk literature in various languages.Each chapter includes a history of scholarly editing in the field, a citation of exemplary editions, and an introduction to a recommended list of further readings.
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Gender Differences in Technology and Innovation Management : Insights from Experimental Research
Even though the number of working women has steadily increased over the last few years, women are still significantly under-represented in STEM activities (i.e. mathematics, informatics, science and technology). In order to eliminate this under-representation, numerous education policies and corporate initiatives, particularly in the recent past, have been aimed at increasing women's enthusiasm for STEM activities and professions.According to the latest surveys, however, it is clear that these efforts have not yet led to the desired success.Compared to their male counterparts, women continue to do fewer STEM activities. One possible reason for this is that relatively little is yet known about the concrete impact of the above education policies on working with innovation and technology: What are the gender differences between women and men?Is it enough to recognize these differences, or should these differences ideally not only be recognized, but also treated appropriately or even encouraged? This anthology deals with current topics in technology and innovation management against the background of these and other gender-relevant aspects.Empirical analyses and experiments in collaboration with companies from various sectors provide a sound scientific basis on which new results and findings are presented: How do women and men deal with creativity and competition?How are technologies applied and how can differences in access to technology be deduced? Answers to these and other questions help decision-makers in politics and business to proactively use the differences between women and men to motivate women to work in the STEM field and to strengthen them by acknowledging existing differences.
Price: 96.50 £ | Shipping*: 0.00 £
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How do I implement a custom data class in Java?
To implement a custom data class in Java, you can create a new class with the fields and methods that represent the data you want to store. You can use the `public` access modifier to make the class accessible from other classes, and then define the fields and methods within the class to represent the data and behavior you need. You can also use constructors to initialize the object with initial values, and override the `toString()` method to provide a custom string representation of the object. Finally, you can use getters and setters to control access to the fields of the class.
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How can external hard drives be used to access custom content?
External hard drives can be used to access custom content by transferring files from a computer onto the external drive. Users can store their custom content, such as photos, videos, music, and documents, on the external drive and then access them on different devices by connecting the drive to a compatible port. This allows for easy sharing and backup of personalized files without taking up space on the computer's internal storage. Additionally, external hard drives can be used to transfer custom content between different computers or to bring files on the go.
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How can one use external hard drives to access custom content?
External hard drives can be used to access custom content by transferring the files from a computer onto the external drive. This can be done by simply connecting the external hard drive to the computer via a USB port and then dragging and dropping the desired files onto the drive. Once the files are on the external hard drive, it can be disconnected from the computer and connected to another device, such as a smart TV or gaming console, to access the custom content. Additionally, external hard drives can also be used to backup custom content to ensure it is safely stored and easily accessible.
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How can one create a custom image with open windows?
To create a custom image with open windows, you can use image editing software such as Adobe Photoshop or GIMP. First, select the image you want to use as the background. Then, use the software's tools to create or import images of open windows and position them on the background image. You can also add details such as curtains, plants, or other elements to make the windows look more realistic. Finally, save the custom image with open windows in the desired format.
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