| Literature DB >> 23913834 |
Henry Mehlan1, Frank Schmidt, Stefan Weiss, Julia Schüler, Stephan Fuchs, Katharina Riedel, Jörg Bernhardt.
Abstract
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.Keywords: Data visualization; Environmental proteomics; Stream graphs; Technology; Tree maps
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Year: 2013 PMID: 23913834 DOI: 10.1002/pmic.201300167
Source DB: PubMed Journal: Proteomics ISSN: 1615-9853 Impact factor: 3.984