From Microarrays to Promoters: The Visual Story of Stat3

IF 1.3 Q4 ENGINEERING, BIOMEDICAL

Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization Pub Date : 2008-07-09 DOI:10.1109/MEDIVIS.2008.18

U. Cvek, M. Trutschl, Z. Syed, J. Clifford

引用次数: 1

Abstract

High-throughput technologies have established themselves as indispensable for the study of biological systems, from gene expression level changes, protein concentrations, to their modifications and interactions in complex diseases and systems. This kind of data analysis is not well served by the biostatistical techniques traditionally applied to biomedical and clinical data sets. Non-trivial patterns are most often discovered using visual and other computational tools applied to this data. We derive patterns and information from a series of differentially expressed genes on eight microarrays combined with analysis of promoter regions using regular expression-driven examination of short representative sequences called motifs. These non-trivial patterns are used to aid the discovery process through the use of information visualization and by harnessing userpsilas perceptual and cognitive capabilities.

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从微阵列到启动子:Stat3的视觉故事

从基因表达水平的变化、蛋白质浓度，到它们在复杂疾病和系统中的修饰和相互作用，高通量技术已经确立了自己在生物系统研究中不可或缺的地位。传统上应用于生物医学和临床数据集的生物统计技术不能很好地服务于这种数据分析。重要的模式通常是使用应用于这些数据的可视化和其他计算工具发现的。我们从8个微阵列上的一系列差异表达基因中获得模式和信息，并结合对启动子区域的分析，使用规则表达驱动的短代表性序列(称为motif)进行检查。这些重要的模式通过使用信息可视化和利用用户的感知和认知能力来帮助发现过程。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization ENGINEERING, BIOMEDICAL-

CiteScore

2.80

自引率

6.20%

发文量

102

期刊介绍： Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization is an international journal whose main goals are to promote solutions of excellence for both imaging and visualization of biomedical data, and establish links among researchers, clinicians, the medical technology sector and end-users. The journal provides a comprehensive forum for discussion of the current state-of-the-art in the scientific fields related to imaging and visualization, including, but not limited to: Applications of Imaging and Visualization Computational Bio- imaging and Visualization Computer Aided Diagnosis, Surgery, Therapy and Treatment Data Processing and Analysis Devices for Imaging and Visualization Grid and High Performance Computing for Imaging and Visualization Human Perception in Imaging and Visualization Image Processing and Analysis Image-based Geometric Modelling Imaging and Visualization in Biomechanics Imaging and Visualization in Biomedical Engineering Medical Clinics Medical Imaging and Visualization Multi-modal Imaging and Visualization Multiscale Imaging and Visualization Scientific Visualization Software Development for Imaging and Visualization Telemedicine Systems and Applications Virtual Reality Visual Data Mining and Knowledge Discovery.