Institute for Microbiology, Ernst Moritz Arndt University Greifswald, Greifswald, Germany.
Proteomics. 2013 Oct;13(18-19):2805-21. doi: 10.1002/pmic.201300167.
From raw data to gene expression profiles, from single cultures to complex microbial communities, environmental proteomics works with data of different complexity levels that need to be interpreted in detail or in its entirety. Although data visualization is closely connected with data analysis approaches, this work will solely focus on data visualization. Complementing traditional tools such as bar charts or line graphs, scientists and visualization professionals have been provided sophisticated visualization tools. Many rules and concerns regarding the display of single but also complex data will be reviewed and discussed. Visual approaches such as microcharts, heat maps, stream graphs, and tree maps will be brought to the reader's attention and demonstrated by utilizing real data sets.
从原始数据到基因表达谱,从单一培养物到复杂的微生物群落,环境蛋白质组学处理的数据具有不同的复杂程度,需要详细或整体进行解释。虽然数据可视化与数据分析方法密切相关,但这项工作将仅专注于数据可视化。除了条形图或线图等传统工具外,科学家和可视化专业人员还提供了复杂的可视化工具。将审查和讨论有关显示单个数据甚至复杂数据的许多规则和注意事项。将向读者介绍微图表、热图、流图和树图等视觉方法,并利用真实数据集进行演示。