title: Data visualization in environmental proteomics.
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.
authors.affiliation: Institute for Microbiology, Ernst Moritz Arndt University Greifswald, Greifswald, Germany.
authors.forename: Henry
authors.initials: H
authors.lastname: Mehlan
authors.forename: Frank
authors.initials: F
authors.lastname: Schmidt
authors.forename: Stefan
authors.initials: S
authors.lastname: Weiss
authors.forename: Julia
authors.initials: J
authors.lastname: Schüler
authors.forename: Stephan
authors.initials: S
authors.lastname: Fuchs
authors.forename: Katharina
authors.initials: K
authors.lastname: Riedel
authors.forename: Jörg
authors.initials: J
authors.lastname: Bernhardt
mesh_terms: D001426:Bacterial Proteins / Q000378:metabolism; D030562:Databases, Protein; D004783:Environmental Microbiology; D013058:Mass Spectrometry; D040901:Proteomics / Q000379:methods*; D013223:Statistics as Topic / Q000379:methods*
chemical_list: D001426:Bacterial Proteins
keywords: Data visualization; Environmental proteomics; Stream graphs; Technology; Tree maps