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Author: Clifford A. Pickover
Publisher: World Scientific
ISBN: 9789810214272
Category : Science
Languages : en
Pages : 250
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Book Description
Biological data of all kinds is proliferating at an incredible rate. If humans attempt to read such data in the form of numbers and letters, they will take in the information at a snail's pace. If the information is rendered graphically, however, human analysts can assimilate it and gain insight at a much faster rate. The emphasis of this book is on the graphic representation of information-containing sequences such as DNA and amino acid sequences in order to help the human analyst find interesting and biologically relevant patterns. The editor's goal is to make this voyage through molecular biology, genetics and computer graphics as accessible to a broad audience as possible, with the inclusion of glossaries at the end of most chapters and program outlines where applicable. The book will be of most interest to biologists and computer scientists and the various large reference lists should be of interest to beginners and advanced students of biology, graphic art and computer science. Contributors have sought to find pattern and meaning in the cacophony of genetic and protein sequence data using unusual computer graphics and musical techniques.
Author: Clifford A. Pickover
Publisher: World Scientific
ISBN: 9789810214272
Category : Science
Languages : en
Pages : 250
Get Book Here
Book Description
Biological data of all kinds is proliferating at an incredible rate. If humans attempt to read such data in the form of numbers and letters, they will take in the information at a snail's pace. If the information is rendered graphically, however, human analysts can assimilate it and gain insight at a much faster rate. The emphasis of this book is on the graphic representation of information-containing sequences such as DNA and amino acid sequences in order to help the human analyst find interesting and biologically relevant patterns. The editor's goal is to make this voyage through molecular biology, genetics and computer graphics as accessible to a broad audience as possible, with the inclusion of glossaries at the end of most chapters and program outlines where applicable. The book will be of most interest to biologists and computer scientists and the various large reference lists should be of interest to beginners and advanced students of biology, graphic art and computer science. Contributors have sought to find pattern and meaning in the cacophony of genetic and protein sequence data using unusual computer graphics and musical techniques.
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Languages : en
Pages :
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Book Description
Information visualization is an effective method for displaying large data sets in a pictorial or graphical format. The visualization aids researchers and analysts in understanding data by evaluating the content and grouping documents together around themes and concepts. With the ever-growing amount of information available on the Internet, additional methods are needed to analyze and interpret data. WebTheme allows users to harvest thousands of web pages and automatically organize and visualize their contents. WebTheme is an interactive web-based product that provides a new way to investigate and understand large volumes of HTML text-based information. It has the ability to harvest data from the World Wide Web using search terms and selected search engines or by following URLs chosen by the user. WebTheme enables users to rapidly identify themes and concepts found among thousands of pages of text harvested and provides a suite of tools to further explore and analyze special areas of interest within a data set. WebTheme was developed at Pacific Northwest National Laboratory (PNNL) for NASA as a method for generating meaningful, thematic, and interactive visualizations. Through a collaboration with the Laboratory's Information Science and Engineering (IS & E) group, information specialists are providing demonstrations of WebTheme and assisting researchers in analyzing their results. This paper will provide a brief overview of the WebTheme product, and the ways in which the Hanford Technical Library's information specialists are assisting researchers in using this product.
Author: Gregg Hartvigsen
Publisher: Columbia University Press
ISBN: 0231537042
Category : Education
Languages : en
Pages : 245
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Book Description
R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data. Drawing on Gregg Hartvigsen's extensive experience teaching biostatistics and modeling biological systems, this text is an engaging, practical, and lab-oriented introduction to R for students in the life sciences. Underscoring the importance of R and RStudio in organizing, computing, and visualizing biological statistics and data, Hartvigsen guides readers through the processes of entering data into R, working with data in R, and using R to visualize data using histograms, boxplots, barplots, scatterplots, and other common graph types. He covers testing data for normality, defining and identifying outliers, and working with non-normal data. Students are introduced to common one- and two-sample tests as well as one- and two-way analysis of variance (ANOVA), correlation, and linear and nonlinear regression analyses. This volume also includes a section on advanced procedures and a chapter introducing algorithms and the art of programming using R.
Author: Colin Ware
Publisher: Elsevier
ISBN: 0123814642
Category : Business & Economics
Languages : en
Pages : 537
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Book Description
"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: Kathleen A. Ireland
Publisher: John Wiley & Sons
ISBN: 0470569190
Category : Science
Languages : en
Pages : 1409
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Book Description
Medical professionals will be able to connect the science of biology to their own lives through the stunning visuals in Visualizing Human Biology. The important concepts of human biology are presented as they relate to the world we live in. The role of the human in the environment is stressed throughout, ensuring that topics such as evolution, ecology, and chemistry are introduced in a non-threatening and logical fashion. Illustrations and visualization features are help make the concepts easier to understand. Medical professionals will appreciate this visual and concise approach.
Author: Benjamín Vargas-Quesada
Publisher: Springer Science & Business Media
ISBN: 3540697284
Category : Computers
Languages : en
Pages : 311
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Book Description
This book presents a methodology for visualizing large scientific domains. Authors Moya-Anegón and Vargas-Queseda create science maps, so-called "scientograms", based on the interactions between authors and their papers through citations and co-citations, using approaches such as domain analysis, social networks, cluster analysis and pathfinder networks. The resulting scientograms offer manifold possibilities.
Author: George Brooks Johnson
Publisher: Holt Rinehart & Winston
ISBN: 9780030167249
Category : Education
Languages : en
Pages : 895
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Book Description
Author: Daniel P. Berrar
Publisher: Springer Science & Business Media
ISBN: 0306478153
Category : Science
Languages : en
Pages : 382
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Book Description
In the past several years, DNA microarray technology has attracted tremendous interest in both the scientific community and in industry. With its ability to simultaneously measure the activity and interactions of thousands of genes, this modern technology promises unprecedented new insights into mechanisms of living systems. Currently, the primary applications of microarrays include gene discovery, disease diagnosis and prognosis, drug discovery (pharmacogenomics), and toxicological research (toxicogenomics). Typical scientific tasks addressed by microarray experiments include the identification of coexpressed genes, discovery of sample or gene groups with similar expression patterns, identification of genes whose expression patterns are highly differentiating with respect to a set of discerned biological entities (e.g., tumor types), and the study of gene activity patterns under various stress conditions (e.g., chemical treatment). More recently, the discovery, modeling, and simulation of regulatory gene networks, and the mapping of expression data to metabolic pathways and chromosome locations have been added to the list of scientific tasks that are being tackled by microarray technology. Each scientific task corresponds to one or more so-called data analysis tasks. Different types of scientific questions require different sets of data analytical techniques. Broadly speaking, there are two classes of elementary data analysis tasks, predictive modeling and pattern-detection. Predictive modeling tasks are concerned with learning a classification or estimation function, whereas pattern-detection methods screen the available data for interesting, previously unknown regularities or relationships.
Author: Gregg Hartvigsen
Publisher: Columbia University Press
ISBN: 0231554400
Category : Science
Languages : en
Pages : 255
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Book Description
R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data. Drawing on Gregg Hartvigsen’s extensive experience teaching biostatistics and modeling biological systems, this text is an engaging, practical, and lab-oriented introduction to R for students in the life sciences. Underscoring the importance of R and RStudio in organizing, computing, and visualizing biological statistics and data, Hartvigsen guides readers through the processes of correctly entering and analyzing data and using R to visualize data using histograms, boxplots, barplots, scatterplots, and other common graph types. He covers testing data for normality, defining and identifying outliers, and working with non-normally distributed data. Students are introduced to common one- and two-sample tests as well as one- and two-way analysis of variance (ANOVA), correlation, and linear and nonlinear regression analyses. This volume also includes a section on advanced procedures and a chapter outlining algorithms and the art of programming using R. This second edition has been revised to be current with the versions of R software released since the book’s original publication. It features updated terminology, sources, and examples throughout.
Author: Lars Linsen
Publisher: Springer Science & Business Media
ISBN: 3540726306
Category : Medical
Languages : en
Pages : 335
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Book Description
Visualization technology is becoming increasingly important for medical and biomedical data processing and analysis. The interaction between visualization and medicine is one of the fastest expanding fields, both scientifically and commercially. This book discusses some of the latest visualization techniques and systems for effective analysis of such diverse, large, complex, and multi-source data.
