Visualization techniques for genomic data

A. Loraine, G. Helt
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引用次数: 3

Abstract

In order to take full advantage of the newly available public human genome sequence data and associated annotations, biologists require visualization tools that can accommodate the high frequency of alternative splicing in human genes and other complexities. We describe techniques for presenting human genomic sequence data and annotations in an interactive, graphical format, with the aim of providing developers with a guide to what features are most likely to meet biologists' needs. These techniques include: one-dimensional semantic zooming to show sequence data alongside gene structures; moveable, adjustable tiers; visual encoding of the translation frame to show how alternative transcript structure affects encoded proteins; and display of protein domains in the context of genomic sequence to show how alternative splicing impacts protein structure and function.
基因组数据可视化技术
为了充分利用新获得的公共人类基因组序列数据和相关注释,生物学家需要可视化工具,以适应人类基因中选择性剪接的高频率和其他复杂性。我们描述了以交互式图形格式呈现人类基因组序列数据和注释的技术,目的是为开发人员提供最可能满足生物学家需求的功能指南。这些技术包括:一维语义缩放以显示序列数据和基因结构;可移动,可调整层;翻译框架的视觉编码,以显示不同的转录物结构如何影响编码蛋白;并在基因组序列的背景下展示蛋白质结构域,以显示选择性剪接如何影响蛋白质结构和功能。
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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