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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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Is it considered plagiarism if you only mention the secondary source but not the primary sources that the secondary source refers to?
Yes, it is still considered plagiarism if you only mention the secondary source and not the primary sources that it refers to. When using information from a secondary source, it is important to trace the information back to the original sources and cite them properly. Failing to do so can give the impression that the information is your own, which is a form of academic dishonesty. It is important to give credit to the original sources to avoid plagiarism.
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Who refers to me as Kafir, Shia, or people?
The term "Kafir" is used in Islam to refer to a non-believer or someone who rejects the faith. "Shia" refers to a branch of Islam that believes in the leadership of Ali, the cousin and son-in-law of the Prophet Muhammad. "People" is a general term used to refer to individuals or a collective group of individuals. These terms are used by different individuals or groups within the Islamic faith to categorize or label others based on their beliefs or affiliations.
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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.
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Which technical term refers to multiple classes in one level?
The technical term that refers to multiple classes in one level is "multiple inheritance." This term is used in object-oriented programming to describe a situation where a class inherits attributes and behaviors from more than one parent class. Multiple inheritance allows a subclass to inherit from multiple superclasses, enabling the subclass to access and use the attributes and methods of each parent class. However, multiple inheritance can lead to complexities and potential conflicts in the inheritance hierarchy.
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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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Stickers for Xiaomi Scooter Modification Stickers M365 Refers Supplies MAX Throttle Finger Pro G30
Stickers for Xiaomi Scooter Modification Stickers M365 Refers Supplies MAX Throttle Finger Pro G30
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Stickers for Xiaomi Scooter Modification Stickers M365 Refers Supplies MAX Throttle Finger Pro G30
Stickers for Xiaomi Scooter Modification Stickers M365 Refers Supplies MAX Throttle Finger Pro G30
Price: 1.19 £ | Shipping*: 1.99 £
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Can one understand that it refers to what was said?
Yes, one can understand that "it" refers to what was said by paying attention to the context and the previous conversation. Pronouns like "it" typically refer to a noun or idea that was mentioned earlier in the conversation. By actively listening and engaging in the conversation, one can easily understand what "it" is referring to. Additionally, asking for clarification if unsure can help ensure understanding.
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What is the Excel function that refers to another cell?
The Excel function that refers to another cell is called a "cell reference." Cell references are used to include the value of another cell in a formula or function. There are different types of cell references, including relative, absolute, and mixed references, which allow for flexibility in how the referenced cell is treated when the formula is copied or moved to different cells. Cell references are a fundamental aspect of creating dynamic and flexible spreadsheets in Excel.
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What is a nickname for men that refers to babies?
A common nickname for men that refers to babies is "baby boy." This term is often used affectionately to refer to a man who is seen as cute, endearing, or in need of care and attention. It can also be used playfully to tease a man who may be acting immature or childish. Overall, "baby boy" is a lighthearted and affectionate nickname for men.
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What is the Excel formula that refers to empty cells?
The Excel formula that refers to empty cells is "ISBLANK." This formula returns "TRUE" if a cell is empty and "FALSE" if it is not. It is commonly used in conditional formatting or in combination with other functions to check for empty cells in a range of data. Using the ISBLANK formula can help identify and handle empty cells in Excel spreadsheets.
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