Proximity As Method

Author : Murat Sunbul
Publisher : Springer Nature
ISBN 13 : 1493995375
Total Pages : 231 pages
Book Rating : 4.70/5 ( download)

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Download or read book Proximity Labeling written by Murat Sunbul and published by Springer Nature. This book was released on 2019-05-23 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides detailed protocols and untold tips and tricks regarding the most well-known examples of proximity labeling methods, in which the protein of interest is genetically fused to or labeled with an enzyme that can generate short-lived reactive species to non-specifically label molecules within a certain radius of up to twenty nanometers. Beginning with peroxidase-based proximity labeling methods, the volume continues with BioID, proximity labeling methods that describe the proximity ligation assay to detect RNA-DNA interactions, UV cross-linking to demonstrate RNA-protein interactions, and how chemical and enzymatic reactivities can be improved upon DNA-DNA and protein-protein interactions, as well as “proximity-induced self-labeling,” where the radius of labeling is zero. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Proximity Labeling: Methods and Protocols serves as an ideal guide for researchers exploring the crucial roles that proximity-driven reactions play in biological systems.

Author : Riccarda Flemmer
Publisher : Routledge Chapman & Hall
ISBN 13 : 9781032782294
Total Pages : 0 pages
Book Rating : 4.93/5 ( download)

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Download or read book Proximity as Method written by Riccarda Flemmer and published by Routledge Chapman & Hall. This book was released on 2024-06-07 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines proximity as a benchmarked concept that can be deployed across a range of humanities disciplines to rethink the ways in which existences in the world are always already coexistences - and to parse the heuristic, ethical, epistemological, praxeological consequences of this recognition. The volume: - Brings together diverse theoretical approaches and utilizes a range of methodological instruments - conceptual, textual-analytic (whether in the realm of literary or religious studies, or theology or law), archival, digital, sociological or politological; - Includes empirical case-studies that allow calibrated and scaled exemplifications; - Launches forays onto unexplored conceptual terrain, or call into question hallowed truths of scholarly procedure. The volume will be essential reading for students and early researchers in the social sciences and the humanities.

Author : Gregory R. Hancock
Publisher : Routledge
ISBN 13 : 1135172994
Total Pages : 449 pages
Book Rating : 4.92/5 ( download)

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Download or read book The Reviewer’s Guide to Quantitative Methods in the Social Sciences written by Gregory R. Hancock and published by Routledge. This book was released on 2010-04-26 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designed for reviewers of research manuscripts and proposals in the social and behavioral sciences, and beyond, this title includes chapters that address traditional and emerging quantitative methods of data analysis.

Author : Peter J. Carrington
Publisher : Cambridge University Press
ISBN 13 : 9781139443432
Total Pages : 354 pages
Book Rating : 4.37/5 ( download)

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Download or read book Models and Methods in Social Network Analysis written by Peter J. Carrington and published by Cambridge University Press. This book was released on 2005-02-07 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: Models and Methods in Social Network Analysis, first published in 2005, presents the most important developments in quantitative models and methods for analyzing social network data that have appeared during the 1990s. Intended as a complement to Wasserman and Faust's Social Network Analysis: Methods and Applications, it is a collection of articles by leading methodologists reviewing advances in their particular areas of network methods. Reviewed are advances in network measurement, network sampling, the analysis of centrality, positional analysis or blockmodelling, the analysis of diffusion through networks, the analysis of affiliation or 'two-mode' networks, the theory of random graphs, dependence graphs, exponential families of random graphs, the analysis of longitudinal network data, graphical techniques for exploring network data, and software for the analysis of social networks.

Author : Sergey V. Ablameyko
Publisher : Springer Nature
ISBN 13 : 303035430X
Total Pages : 320 pages
Book Rating : 4.05/5 ( download)

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Download or read book Pattern Recognition and Information Processing written by Sergey V. Ablameyko and published by Springer Nature. This book was released on 2019-11-22 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 14th International Conference on Pattern Recognition and Information Processing, PRIP 2019, held in Minsk, Belarus, in May 2019. The 25 revised full papers were carefully reviewed and selected from 120 submissions. The papers of this volume are organized in topical sections on pattern recognition and image analysis; information processing and applications.

Author : Balamurugan Balusamy
Publisher : John Wiley & Sons
ISBN 13 : 1119701872
Total Pages : 368 pages
Book Rating : 4.73/5 ( download)

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Download or read book Big Data written by Balamurugan Balusamy and published by John Wiley & Sons. This book was released on 2021-03-15 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn Big Data from the ground up with this complete and up-to-date resource from leaders in the field Big Data: Concepts, Technology, and Architecture delivers a comprehensive treatment of Big Data tools, terminology, and technology perfectly suited to a wide range of business professionals, academic researchers, and students. Beginning with a fulsome overview of what we mean when we say, “Big Data,” the book moves on to discuss every stage of the lifecycle of Big Data. You’ll learn about the creation of structured, unstructured, and semi-structured data, data storage solutions, traditional database solutions like SQL, data processing, data analytics, machine learning, and data mining. You’ll also discover how specific technologies like Apache Hadoop, SQOOP, and Flume work. Big Data also covers the central topic of big data visualization with Tableau, and you’ll learn how to create scatter plots, histograms, bar, line, and pie charts with that software. Accessibly organized, Big Data includes illuminating case studies throughout the material, showing you how the included concepts have been applied in real-world settings. Some of those concepts include: The common challenges facing big data technology and technologists, like data heterogeneity and incompleteness, data volume and velocity, storage limitations, and privacy concerns Relational and non-relational databases, like RDBMS, NoSQL, and NewSQL databases Virtualizing Big Data through encapsulation, partitioning, and isolating, as well as big data server virtualization Apache software, including Hadoop, Cassandra, Avro, Pig, Mahout, Oozie, and Hive The Big Data analytics lifecycle, including business case evaluation, data preparation, extraction, transformation, analysis, and visualization Perfect for data scientists, data engineers, and database managers, Big Data also belongs on the bookshelves of business intelligence analysts who are required to make decisions based on large volumes of information. Executives and managers who lead teams responsible for keeping or understanding large datasets will also benefit from this book.

Author : Colin Ware
Publisher : Elsevier
ISBN 13 : 0123814642
Total Pages : 537 pages
Book Rating : 4.47/5 ( download)

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Download or read book Information Visualization written by Colin Ware and published by Elsevier. This book was released on 2013 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This is a book about what the science of perception can tell us about visualization. There is a gold mine of information about how we see to be found in more than a century of work by vision researchers. The purpose of this book is to extract from that large body of research literature those design principles that apply to displaying information effectively"--

Author :
Publisher :
ISBN 13 :
Total Pages : 294 pages
Book Rating : 4.84/5 ( download)

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Download or read book A Method for Understanding and Predicting Destination Choices written by and published by . This book was released on 1977 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Adam Tornhill
Publisher : Pragmatic Bookshelf
ISBN 13 : 1680505807
Total Pages : 362 pages
Book Rating : 4.01/5 ( download)

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Download or read book Software Design X-Rays written by Adam Tornhill and published by Pragmatic Bookshelf. This book was released on 2018-03-08 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you working on a codebase where cost overruns, death marches, and heroic fights with legacy code monsters are the norm? Battle these adversaries with novel ways to identify and prioritize technical debt, based on behavioral data from how developers work with code. And that's just for starters. Because good code involves social design, as well as technical design, you can find surprising dependencies between people and code to resolve coordination bottlenecks among teams. Best of all, the techniques build on behavioral data that you already have: your version-control system. Join the fight for better code! Use statistics and data science to uncover both problematic code and the behavioral patterns of the developers who build your software. This combination gives you insights you can't get from the code alone. Use these insights to prioritize refactoring needs, measure their effect, find implicit dependencies between different modules, and automatically create knowledge maps of your system based on actual code contributions. In a radical, much-needed change from common practice, guide organizational decisions with objective data by measuring how well your development teams align with the software architecture. Discover a comprehensive set of practical analysis techniques based on version-control data, where each point is illustrated with a case study from a real-world codebase. Because the techniques are language neutral, you can apply them to your own code no matter what programming language you use. Guide organizational decisions with objective data by measuring how well your development teams align with the software architecture. Apply research findings from social psychology to software development, ensuring you get the tools you need to coach your organization towards better code. If you're an experienced programmer, software architect, or technical manager, you'll get a new perspective that will change how you work with code. What You Need: You don't have to install anything to follow along in the book. TThe case studies in the book use well-known open source projects hosted on GitHub. You'll use CodeScene, a free software analysis tool for open source projects, for the case studies. We also discuss alternative tooling options where they exist.

Author : Alain Damlamian
Publisher : World Scientific
ISBN 13 : 9814464058
Total Pages : 190 pages
Book Rating : 4.55/5 ( download)

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Download or read book Wavelet Methods In Mathematical Analysis And Engineering written by Alain Damlamian and published by World Scientific. This book was released on 2010-09-21 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives a comprehensive overview of both the fundamentals of wavelet analysis and related tools, and of the most active recent developments towards applications. It offers a state-of-the-art in several active areas of research where wavelet ideas, or more generally multiresolution ideas have proved particularly effective.The main applications covered are in the numerical analysis of PDEs, and signal and image processing. Recently introduced techniques such as Empirical Mode Decomposition (EMD) and new trends in the recovery of missing data, such as compressed sensing, are also presented. Applications range for the reconstruction of noisy or blurred images, pattern and face recognition, to nonlinear approximation in strongly anisotropic contexts, and to the classification tools based on multifractal analysis.