Visualizing Biological Information

Visualizing Biological Information PDF 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.

Visualizing Biological Information

Visualizing Biological Information PDF 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.

Visualizing Information in the Biological Sciences

Visualizing Information in the Biological Sciences PDF Author:
Publisher:
ISBN:
Category :
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.

Membrane Organization and Dynamics

Membrane Organization and Dynamics PDF Author: Amitabha Chattopadhyay
Publisher: Springer
ISBN: 3319666010
Category : Science
Languages : en
Pages : 387

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Book Description
This volume brings together information on membrane organization and dynamics from a variety of spectroscopic, microscopic and simulation approaches, spanning a broad range of time scales. The implication of such dynamic information on membrane function in health and disease is a topic of contemporary interest. The chapters cover various aspects of membrane lipid and protein dynamics, explored using a battery of experimental and theoretical approaches. The synthesis of information and knowledge gained by utilizing multiple approaches will provide the reader with a comprehensive understanding of the underlying membrane dynamics and function, which will help to develop robust dynamic models for the understanding of membrane function in healthy and diseased states. In the last few years, crystal structures of an impressive number of membrane proteins have been reported, thanks to tremendous advances in membrane protein crystallization techniques. Some of these recently solved structures belong to the G protein-coupled receptor (GPCR) family, which are particularly difficult to crystallize due to their intrinsic flexibility. Nonetheless, these static structures do not provide the necessary information to understand the function of membrane proteins in the complex membrane milieu. This volume will address the dynamic nature of membrane proteins within the membrane and will provide the reader with an up-to date overview of the theory and practical approaches that can be used. This volume will be invaluable to researchers working in a wide range of scientific areas, from biochemistry and molecular biology to biophysics and protein science. Students of these fields will also find this volume very useful. This book will also be of great use to those who are interested in the dynamic nature of biological processes.

Data Visualization Tools for Large Biological Data Sets

Data Visualization Tools for Large Biological Data Sets PDF Author: Jamie Waese
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description
Researchers have access to an ever-growing volume of data available at multiple levels of biological analysis. Many visual analytic tools have been developed to display a variety of biological data types but many of these tools are challenging to use and only examine one biological level of analysis at a time. The development and testing of hypotheses is difficult when the information is hard to integrate and laborious to interpret. The application of data visualization principles and user experience design best practices could improve systems biology research workflows by providing visual analytic tools with what is known in the information visualization community as a "transparent" user interface. This thesis consists of four papers that explore two central questions: 1) What is the best way to represent biological information at different levels of analysis? and 2) How do we enable researchers to explore and interact with their data as naturally and intuitively as possible? The first paper describes, ePlant, a tool for visualizing multiple levels of data that was developed using an agile process that included several rounds of user testing. The second paper presents Gene Slider, a tool for visualizing the conservation and entropy of orthologous DNA and protein sequences using a data visualization paradigm that takes better advantage of preattentive visual processing than current methods. The third paper describes Topo-phylogeny, a tool for visualizing phylogenetic relationships using a topographic map visualization paradigm that requires less cognitive processing to interpret than traditional tree diagrams. The final paper demonstrates the importance of user testing when developing a "rapid serial visual presentation" interface for identifying genes of interest using electronic fluorescent pictographs. Together these papers illustrate the complexities and benefits of applying data visualization principles and user experience design best practices to building data visualization tools for the analysis of large biological data sets. Given that hypothesis generation is fundamentally a creative process, any tools or techniques that can help researchers consider their data at a deeper level should be valuable to the scientific community.

Visualizing Biological Structures and Molecules

Visualizing Biological Structures and Molecules PDF Author: Thomas E. Creighton
Publisher:
ISBN: 9780956478146
Category : Biochemistry
Languages : en
Pages : 172

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Book Description
The four chapters of this volume deal with how to visualize the structures of macromolecules using theirinteractions with light of widely varying wavelengths. Macromolecules in solution scatter radiationand thereby reveal information about their structures (Chapter 1). Immobilized macromolecules canbe observed directly in microscopes, using either visible light or electrons; their physical surfacescan also be sensed using very sensitive probes (Chapter 2). When arranged in a crystalline array,their most intimate structural details can be visualized from how they scatter and diffract X-rays orneutrons (Chapter 3). Nuclear magnetic resonance (NMR) complements X-ray diffraction, in that italso reveals the detailed structures of macromolecules, but while dissolved in aqueous solution, andalso provides unique information about their dynamic properties (Chapter 4).

A Practical Approach to Microarray Data Analysis

A Practical Approach to Microarray Data Analysis PDF 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.

Visualizing Disease

Visualizing Disease PDF Author: Domenico Bertoloni Meli
Publisher: University of Chicago Press
ISBN: 022646363X
Category : Science
Languages : en
Pages : 311

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Book Description
Visual anatomy books have been a staple of medical practice and study since the mid-sixteenth century. But the visual representation of diseased states followed a very different pattern from anatomy, one we are only now beginning to investigate and understand. With Visualizing Disease, Domenico Bertoloni Meli explores key questions in this domain, opening a new field of inquiry based on the analysis of a rich body of arresting and intellectually challenging images reproduced here both in black and white and in color. Starting in the Renaissance, Bertoloni Meli delves into the wide range of figures involved in the early study and representation of disease, including not just men of medicine, like anatomists, physicians, surgeons, and pathologists, but also draftsmen and engravers. Pathological preparations proved difficult to preserve and represent, and as Bertoloni Meli takes us through a number of different cases from the Renaissance to the mid-nineteenth century, we gain a new understanding of how knowledge of disease, interactions among medical men and artists, and changes in the technologies of preservation and representation of specimens interacted to slowly bring illustration into the medical world.

Knowledge-Based Bioinformatics

Knowledge-Based Bioinformatics PDF Author: Gil Alterovitz
Publisher: John Wiley & Sons
ISBN: 1119995833
Category : Medical
Languages : en
Pages : 306

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Book Description
There is an increasing need throughout the biomedical sciences for a greater understanding of knowledge-based systems and their application to genomic and proteomic research. This book discusses knowledge-based and statistical approaches, along with applications in bioinformatics and systems biology. The text emphasizes the integration of different methods for analysing and interpreting biomedical data. This, in turn, can lead to breakthrough biomolecular discoveries, with applications in personalized medicine. Key Features: Explores the fundamentals and applications of knowledge-based and statistical approaches in bioinformatics and systems biology. Helps readers to interpret genomic, proteomic, and metabolomic data in understanding complex biological molecules and their interactions. Provides useful guidance on dealing with large datasets in knowledge bases, a common issue in bioinformatics. Written by leading international experts in this field. Students, researchers, and industry professionals with a background in biomedical sciences, mathematics, statistics, or computer science will benefit from this book. It will also be useful for readers worldwide who want to master the application of bioinformatics to real-world situations and understand biological problems that motivate algorithms.

Illuminating the Path

Illuminating the Path PDF Author: James J. Thomas
Publisher:
ISBN: 9780769523231
Category : Analytical reasoning
Languages : en
Pages : 186

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Book Description
Illuminating the Path is a call to action for researchers and developers to help safeguard our nation by transforming information overload into insights through visual analytics - the science of analytical reasoning facilitated by interactive visual interfaces. Achieving this will require interdisciplinary, collaborative efforts of researchers from throughout academia, industry, and the national laboratories.

A Primer in Biological Data Analysis and Visualization Using R

A Primer in Biological Data Analysis and Visualization Using R PDF 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.