Interactive Visualization and Model-based Analysis of Genomics Data

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Publisher :
ISBN 13 :
Total Pages : 352 pages
Book Rating : 4.:/5 (75 download)

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Book Synopsis Interactive Visualization and Model-based Analysis of Genomics Data by : Nameeta Yogeshkumar Shah

Download or read book Interactive Visualization and Model-based Analysis of Genomics Data written by Nameeta Yogeshkumar Shah and published by . This book was released on 2006 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computational Genomics with R

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Publisher : CRC Press
ISBN 13 : 1498781861
Total Pages : 463 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Computational Genomics with R by : Altuna Akalin

Download or read book Computational Genomics with R written by Altuna Akalin and published by CRC Press. This book was released on 2020-12-16 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners to sophisticated data analysis techniques in genomics. The book covers topics from R programming, to machine learning and statistics, to the latest genomic data analysis techniques. The text provides accessible information and explanations, always with the genomics context in the background. This also contains practical and well-documented examples in R so readers can analyze their data by simply reusing the code presented. As the field of computational genomics is interdisciplinary, it requires different starting points for people with different backgrounds. For example, a biologist might skip sections on basic genome biology and start with R programming, whereas a computer scientist might want to start with genome biology. After reading: You will have the basics of R and be able to dive right into specialized uses of R for computational genomics such as using Bioconductor packages. You will be familiar with statistics, supervised and unsupervised learning techniques that are important in data modeling, and exploratory analysis of high-dimensional data. You will understand genomic intervals and operations on them that are used for tasks such as aligned read counting and genomic feature annotation. You will know the basics of processing and quality checking high-throughput sequencing data. You will be able to do sequence analysis, such as calculating GC content for parts of a genome or finding transcription factor binding sites. You will know about visualization techniques used in genomics, such as heatmaps, meta-gene plots, and genomic track visualization. You will be familiar with analysis of different high-throughput sequencing data sets, such as RNA-seq, ChIP-seq, and BS-seq. You will know basic techniques for integrating and interpreting multi-omics datasets. Altuna Akalin is a group leader and head of the Bioinformatics and Omics Data Science Platform at the Berlin Institute of Medical Systems Biology, Max Delbrück Center, Berlin. He has been developing computational methods for analyzing and integrating large-scale genomics data sets since 2002. He has published an extensive body of work in this area. The framework for this book grew out of the yearly computational genomics courses he has been organizing and teaching since 2015.

Interactive Data Visualization with Python

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Publisher : Packt Publishing Ltd
ISBN 13 : 1800201060
Total Pages : 362 pages
Book Rating : 4.8/5 (2 download)

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Book Synopsis Interactive Data Visualization with Python by : Abha Belorkar

Download or read book Interactive Data Visualization with Python written by Abha Belorkar and published by Packt Publishing Ltd. This book was released on 2020-04-14 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Create your own clear and impactful interactive data visualizations with the powerful data visualization libraries of Python Key FeaturesStudy and use Python interactive libraries, such as Bokeh and PlotlyExplore different visualization principles and understand when to use which oneCreate interactive data visualizations with real-world dataBook Description With so much data being continuously generated, developers, who can present data as impactful and interesting visualizations, are always in demand. Interactive Data Visualization with Python sharpens your data exploration skills, tells you everything there is to know about interactive data visualization in Python. You'll begin by learning how to draw various plots with Matplotlib and Seaborn, the non-interactive data visualization libraries. You'll study different types of visualizations, compare them, and find out how to select a particular type of visualization to suit your requirements. After you get a hang of the various non-interactive visualization libraries, you'll learn the principles of intuitive and persuasive data visualization, and use Bokeh and Plotly to transform your visuals into strong stories. You'll also gain insight into how interactive data and model visualization can optimize the performance of a regression model. By the end of the course, you'll have a new skill set that'll make you the go-to person for transforming data visualizations into engaging and interesting stories. What you will learnExplore and apply different interactive data visualization techniquesManipulate plotting parameters and styles to create appealing plotsCustomize data visualization for different audiencesDesign data visualizations using interactive librariesUse Matplotlib, Seaborn, Altair and Bokeh for drawing appealing plotsCustomize data visualization for different scenariosWho this book is for This book intends to provide a solid training ground for Python developers, data analysts and data scientists to enable them to present critical data insights in a way that best captures the user's attention and imagination. It serves as a simple step-by-step guide that demonstrates the different types and components of visualization, the principles, and techniques of effective interactivity, as well as common pitfalls to avoid when creating interactive data visualizations. Students should have an intermediate level of competency in writing Python code, as well as some familiarity with using libraries such as pandas.

Data Analysis for the Life Sciences with R

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Publisher : CRC Press
ISBN 13 : 1498775861
Total Pages : 537 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Data Analysis for the Life Sciences with R by : Rafael A. Irizarry

Download or read book Data Analysis for the Life Sciences with R written by Rafael A. Irizarry and published by CRC Press. This book was released on 2016-10-04 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers several of the statistical concepts and data analytic skills needed to succeed in data-driven life science research. The authors proceed from relatively basic concepts related to computed p-values to advanced topics related to analyzing highthroughput data. They include the R code that performs this analysis and connect the lines of code to the statistical and mathematical concepts explained.

Genomics Data Analysis for Crop Improvement

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Publisher : Springer Nature
ISBN 13 : 9819969131
Total Pages : 378 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Genomics Data Analysis for Crop Improvement by : Priyanka Anjoy

Download or read book Genomics Data Analysis for Crop Improvement written by Priyanka Anjoy and published by Springer Nature. This book was released on 2024-02-10 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses complex problems associated with crop improvement programs, using a wide range of programming solutions, for genomics data handling and sustainable agriculture. It describes important concepts in genomics data analysis and sequence-based mapping approaches along with references. The book contains 16 chapters on recent developments in several methods of genomic data analysis for crop improvements and sustainable agriculture, all authored by eminent researchers who are experts in their fields. These chapters focus on applications of a wide range of key bioinformatics topics, including assembly, annotation, and visualization of next-generation sequencing (NGS) data; expression profiles of coding and noncoding RNA; statistical and quantitative genetics; trait-based association analysis, quantitative trait loci (QTL) mapping, and artificial intelligence in genomic studies. Real examples and case studies in the book will come in handy when applying the techniques. The relative scarcity of reference materials covering bioinformatics applications as compared with the readily available books also enhances the utility of this book. The targeted readers of the book are scientists, researchers, and bioinformaticians from genomics and advanced breeding in different areas. The book will appeal to the applied researchers engaged in crop improvements and sustainable agriculture by using bioinformatics tools, students, research project leaders, and practitioners from the various marginal disciplines and interdisciplinary research.

Data Analysis and Visualization in Genomics and Proteomics

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Publisher : John Wiley & Sons
ISBN 13 : 0470094400
Total Pages : 284 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Data Analysis and Visualization in Genomics and Proteomics by : Francisco Azuaje

Download or read book Data Analysis and Visualization in Genomics and Proteomics written by Francisco Azuaje and published by John Wiley & Sons. This book was released on 2005-06-24 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Analysis and Visualization in Genomics and Proteomics is the first book addressing integrative data analysis and visualization in this field. It addresses important techniques for the interpretation of data originating from multiple sources, encoded in different formats or protocols, and processed by multiple systems. One of the first systematic overviews of the problem of biological data integration using computational approaches This book provides scientists and students with the basis for the development and application of integrative computational methods to analyse biological data on a systemic scale Places emphasis on the processing of multiple data and knowledge resources, and the combination of different models and systems

Data-Driven Reproductive Health

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Publisher : Springer Nature
ISBN 13 : 9819774519
Total Pages : 235 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Data-Driven Reproductive Health by : Abhishek Sengupta

Download or read book Data-Driven Reproductive Health written by Abhishek Sengupta and published by Springer Nature. This book was released on with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Interactive Web-Based Data Visualization with R, plotly, and shiny

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Publisher : CRC Press
ISBN 13 : 0429824203
Total Pages : 278 pages
Book Rating : 4.4/5 (298 download)

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Book Synopsis Interactive Web-Based Data Visualization with R, plotly, and shiny by : Carson Sievert

Download or read book Interactive Web-Based Data Visualization with R, plotly, and shiny written by Carson Sievert and published by CRC Press. This book was released on 2020-01-30 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: The richly illustrated Interactive Web-Based Data Visualization with R, plotly, and shiny focuses on the process of programming interactive web graphics for multidimensional data analysis. It is written for the data analyst who wants to leverage the capabilities of interactive web graphics without having to learn web programming. Through many R code examples, you will learn how to tap the extensive functionality of these tools to enhance the presentation and exploration of data. By mastering these concepts and tools, you will impress your colleagues with your ability to quickly generate more informative, engaging, and reproducible interactive graphics using free and open source software that you can share over email, export to pdf, and more. Key Features: Convert static ggplot2 graphics to an interactive web-based form Link, animate, and arrange multiple plots in standalone HTML from R Embed, modify, and respond to plotly graphics in a shiny app Learn best practices for visualizing continuous, discrete, and multivariate data Learn numerous ways to visualize geo-spatial data This book makes heavy use of plotly for graphical rendering, but you will also learn about other R packages that support different phases of a data science workflow, such as tidyr, dplyr, and tidyverse. Along the way, you will gain insight into best practices for visualization of high-dimensional data, statistical graphics, and graphical perception. The printed book is complemented by an interactive website where readers can view movies demonstrating the examples and interact with graphics.

The Kiwifruit Genome

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Publisher : Springer
ISBN 13 : 3319322745
Total Pages : 275 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis The Kiwifruit Genome by : Raffaele Testolin

Download or read book The Kiwifruit Genome written by Raffaele Testolin and published by Springer. This book was released on 2016-05-02 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the basic botanical features of kiwifruit and its wild relatives, reports on the steps that led to its genome sequencing, and discusses the results obtained with the assembly and annotation. The core chapters provide essential insights into the main gene families that characterize this species as a crop, including the genes controlling sugar and starch metabolism, pigment biosynthesis and degradation, the ascorbic-acid pathway, fruit softening and postharvest metabolism, allergens, and resistance to pests and diseases. The book offers a valuable reference guide for taxonomists, geneticists and horticulturists. Further, since information gained from the genome sequence is extraordinarily useful in assessing the breeding value of individuals based on whole-genome scans, it will especially benefit plant breeders. Accordingly, chapters are included that focus on gene introgression from wild relatives and genome-based breeding.

11th international meeting on visualizing biological data (VIZBI 2021)

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Publisher : Frontiers Media SA
ISBN 13 : 2832506372
Total Pages : 159 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis 11th international meeting on visualizing biological data (VIZBI 2021) by : Sean O’Donoghue

Download or read book 11th international meeting on visualizing biological data (VIZBI 2021) written by Sean O’Donoghue and published by Frontiers Media SA. This book was released on 2022-12-16 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Food Molecular Microbiology

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Publisher : CRC Press
ISBN 13 : 1351615092
Total Pages : 207 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Food Molecular Microbiology by : Spiros Paramithiotis

Download or read book Food Molecular Microbiology written by Spiros Paramithiotis and published by CRC Press. This book was released on 2019-02-14 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the advances in the field of molecular biology, new tools make it possible to conduct in-depth studies in food microbial communities from a molecular perspective. Information from genomic, transcriptomic, proteomic and metabolomic studies can be integrated through bioinformatic applications, thereby improving our understanding of the interactions between biotic and abiotic factors and concomitantly the physiology of starter cultures, spoilage and pathogenic microbiota. Improvements in the speed, accuracy and reliability of food quality and safety assessment have made the foundation stronger for future developments including the exploitation of gene networks and applications of nanotechnology and systems biology. This book reviews all these developments, provides an integrated view of the subject and helps in identifying areas of future development.

Genomics in the Cloud

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Publisher : O'Reilly Media
ISBN 13 : 1491975164
Total Pages : 496 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Genomics in the Cloud by : Geraldine A. Van der Auwera

Download or read book Genomics in the Cloud written by Geraldine A. Van der Auwera and published by O'Reilly Media. This book was released on 2020-04-02 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data in the genomics field is booming. In just a few years, organizations such as the National Institutes of Health (NIH) will host 50+ petabytesâ??or over 50 million gigabytesâ??of genomic data, and theyâ??re turning to cloud infrastructure to make that data available to the research community. How do you adapt analysis tools and protocols to access and analyze that volume of data in the cloud? With this practical book, researchers will learn how to work with genomics algorithms using open source tools including the Genome Analysis Toolkit (GATK), Docker, WDL, and Terra. Geraldine Van der Auwera, longtime custodian of the GATK user community, and Brian Oâ??Connor of the UC Santa Cruz Genomics Institute, guide you through the process. Youâ??ll learn by working with real data and genomics algorithms from the field. This book covers: Essential genomics and computing technology background Basic cloud computing operations Getting started with GATK, plus three major GATK Best Practices pipelines Automating analysis with scripted workflows using WDL and Cromwell Scaling up workflow execution in the cloud, including parallelization and cost optimization Interactive analysis in the cloud using Jupyter notebooks Secure collaboration and computational reproducibility using Terra

Pathogen Genomics: Empowering Infectious Disease Surveillance and Outbreak Investigations

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Publisher : Frontiers Media SA
ISBN 13 : 2889638227
Total Pages : 160 pages
Book Rating : 4.8/5 (896 download)

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Book Synopsis Pathogen Genomics: Empowering Infectious Disease Surveillance and Outbreak Investigations by : Marc Jean Struelens

Download or read book Pathogen Genomics: Empowering Infectious Disease Surveillance and Outbreak Investigations written by Marc Jean Struelens and published by Frontiers Media SA. This book was released on 2020-07-03 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Visualization Analysis and Design

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Publisher : CRC Press
ISBN 13 : 1466508930
Total Pages : 422 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Visualization Analysis and Design by : Tamara Munzner

Download or read book Visualization Analysis and Design written by Tamara Munzner and published by CRC Press. This book was released on 2014-12-01 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn How to Design Effective Visualization SystemsVisualization Analysis and Design provides a systematic, comprehensive framework for thinking about visualization in terms of principles and design choices. The book features a unified approach encompassing information visualization techniques for abstract data, scientific visualization techniques

Introduction to Information Visualization

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Publisher : Rowman & Littlefield
ISBN 13 : 1538125099
Total Pages : 225 pages
Book Rating : 4.5/5 (381 download)

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Book Synopsis Introduction to Information Visualization by : Gerald Benoit

Download or read book Introduction to Information Visualization written by Gerald Benoit and published by Rowman & Littlefield. This book was released on 2019-02-08 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Information Visualization: Transforming Data into Meaningful Information is for anyone interested in the art and science of communicating data to others. It shows readers how to transform data into something meaningful - information. Applying information visualization in research, service, teaching, and professional life requires a solid understanding of graphic design and the aesthetic along with hands-on skills and knowledge of data principles and software. This book is applicable to students in all domains, to researchers who need to understand how to create graphics that explain their data, and to professionals and administrators for professional development training. Website Designers and Human-Computer Interaction researchers will appreciate the backstory of designing interactive visualizations for the web. Drawing on the author’s years of practice and teaching, it bridges the two worlds in ways everyone can participate in the future of information and to appreciate the beautiful in information: Step-by-step directions in the fundamentals of HTML5, CSS, and d3.js Design challenges with fully explained answers Web-site support for code samples (JavaScript, d3.js, python), live examples, and a place to build a community of other IV pros Useful for teaching design to scientists; data to the humanities Guidance for using the text depending on the class makeup Review of third-party visualization software, big data trends, and script libraries Guidance on how to continue in the IV world after graduation This full-color book features graphics and a companion Web site. The online companion site hosts living examples, updates, and errata. You’re invited to participate on the site, too, sharing your questions, solutions, and ideas. For most readings, there is a partner design lab. At the conclusion of the course, there is a complete interactive information visualization service documentation for libraries.

Sports Analytics

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Publisher : Routledge
ISBN 13 : 1351838962
Total Pages : 272 pages
Book Rating : 4.3/5 (518 download)

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Book Synopsis Sports Analytics by : Ambikesh Jayal

Download or read book Sports Analytics written by Ambikesh Jayal and published by Routledge. This book was released on 2018-06-12 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the analysis of big datasets in sports performance becomes a more entrenched part of the sporting landscape, so the value of sport scientists and analysts with formal training in data analytics grows. Sports Analytics: Analysis, Visualisation and Decision Making in Sports Performance provides the most authoritative and comprehensive guide to the use of analytics in sport and its application in sports performance, coaching, talent identification and sports medicine available. Employing an approach-based structure and integrating problem-based learning throughout the text, the book clearly defines the difference between analytics and analysis and goes on to explain and illustrate methods including: Interactive visualisation Simulation and modelling Geospatial data analysis Spatiotemporal analysis Machine learning Genomic data analysis Social network analysis Offering a mixed-methods case study chapter, no other book offers the same level of scientific grounding or practical application in sports data analytics. Sports Analytics is essential reading for all students of sports analytics, and useful supplementary reading for students and professionals in talent identification and development, sports performance analysis, sports medicine and applied computer science.

The Pangenome

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Publisher : Springer Nature
ISBN 13 : 3030382818
Total Pages : 311 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis The Pangenome by : Hervé Tettelin

Download or read book The Pangenome written by Hervé Tettelin and published by Springer Nature. This book was released on 2020-04-30 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book offers the first comprehensive account of the pan-genome concept and its manifold implications. The realization that the genetic repertoire of a biological species always encompasses more than the genome of each individual is one of the earliest examples of big data in biology that opened biology to the unbounded. The study of genetic variation observed within a species challenges existing views and has profound consequences for our understanding of the fundamental mechanisms underpinning bacterial biology and evolution. The underlying rationale extends well beyond the initial prokaryotic focus to all kingdoms of life and evolves into similar concepts for metagenomes, phenomes and epigenomes. The book’s respective chapters address a range of topics, from the serendipitous emergence of the pan-genome concept and its impacts on the fields of microbiology, vaccinology and antimicrobial resistance, to the study of microbial communities, bioinformatic applications and mathematical models that tie in with complex systems and economic theory. Given its scope, the book will appeal to a broad readership interested in population dynamics, evolutionary biology and genomics.