Topic
Biological data visualization
About: Biological data visualization is a research topic. Over the lifetime, 354 publications have been published within this topic receiving 9447 citations.
Papers published on a yearly basis
Papers
TL;DR: This article highlights some specific advances in the areas of visualization and usability, performance, and extensibility in ChimeraX.
Abstract: UCSF ChimeraX is next-generation software for the visualization and analysis of molecular structures, density maps, 3D microscopy, and associated data. It addresses challenges in the size, scope, and disparate types of data attendant with cutting-edge experimental methods, while providing advanced options for high-quality rendering (interactive ambient occlusion, reliable molecular surface calculations, etc.) and professional approaches to software design and distribution. This article highlights some specific advances in the areas of visualization and usability, performance, and extensibility. ChimeraX is free for noncommercial use and is available from http://www.rbvi.ucsf.edu/chimerax/ for Windows, Mac, and Linux.
4,633 citations
Book•
1 Dec 2014
TL;DR: In this article, the authors provide a systematic, comprehensive framework for thinking about visualization in terms of principles and design choices, and present a unified approach encompassing information visualization techniques for abstract data, scientific visualization techniques.
Abstract: 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
1,694 citations
TL;DR: How visualization tools are being used to help interpret protein interaction, gene expression and metabolic profile data is discussed, and emerging new directions are highlighted.
Abstract: High-throughput studies of biological systems are rapidly accumulating a wealth of 'omics'-scale data. Visualization is a key aspect of both the analysis and understanding of these data, and users now have many visualization methods and tools to choose from. The challenge is to create clear, meaningful and integrated visualizations that give biological insight, without being overwhelmed by the intrinsic complexity of the data. In this review, we discuss how visualization tools are being used to help interpret protein interaction, gene expression and metabolic profile data, and we highlight emerging new directions.
693 citations
1 Jul 2010
TL;DR: Practical practitioners, developers, teachers and students as well as those interested in gaining some exposure to the field will get an in-depth understanding of visualization techniques and are provided with sufficient information, often with full source code, to complete an implementation.
Abstract: This book provides the theory, practical details, and tools necessary for building visualizations or systems involving the visualization of data. The authors cover the spectrum of data visualizations, including mathematical and statistical graphs, cartography for displaying geographic information, two- and three-dimensional scientific displays, integrated analysis and visualization tools, and general information visualization techniques. Practitioners, developers, teachers and students as well as those interested in gaining some exposure to the field will get an in-depth understanding of visualization techniques and are provided with sufficient information, often with full source code, to complete an implementation; those with more modest aspirations can focus on the concepts, theory and high-level algorithm details.
561 citations
PARC1
TL;DR: This paper proposes an organization of the information visualization literature and illustrates it with a series of examples, resulting in a framework for designing new visualizations and augmenting existing designs.
Abstract: Research on information visualization has reached the point where a number of successful point designs have been proposed and a variety of techniques have been discovered. It is now appropriate to describe and analyze portions of the design space so as to understand the differences among designs and to suggest new possibilities. This paper proposes an organization of the information visualization literature and illustrates it with a series of examples. The result is a framework for designing new visualizations and augmenting existing designs.
419 citations
Related Topics (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2021 | 1 |
| 2020 | 1 |
| 2019 | 1 |
| 2018 | 7 |
| 2017 | 18 |
| 2016 | 22 |