On top of the analysis framework, multiple visualization tools are provided.
MetaVir provides an automatic annotation of each sequence, with multiple visualization tools to explore and compare genome maps, as well as multiple ways of searching the data (by host, by phage affiliation, by gene taxonomic or functional affiliation, by size, etc) and extract a specific subset of interest.
Fig. 10 The interface of the visualization tool, VISEE.
In addition to the availability of the Official Gene Set (OGS1.0), which includes the genome assembly as well as transcript and protein sequences from our genome annotation, SWFBase incorporates multiple data mining and visualization tools that allow those researching to retrieve and visualize the D. suzukii genome data and OrthologID-generated gene orthology and phylogenetic results of interests.
PathCase visualization tools visualize metabolic data, relationships in the data, as well as analysis results of the data via multiple variations of a JAVA applet.
While it is clear that metabolic profiling would benefit from more extensive use of 2D NMR spectra, preprocessing methods such as signal alignment and visualization tools for multiple 2D spectra have lagged behind similar methods for 1D spectra.
Multiple visual encoding schemes, combined with various interactive visualization tools, can provide an effective and dynamic data exploration environment for neuroscientists to better identify patterns, trends and markers.
MICE not only addresses the issues of usability and flexibility but also extends the role of traditional visualization tools by allowing multiple users to view, manipulate, and interact with a single representation of a macromolecular structure.
Multiple experiment viewer software was used to create data visualization tools.
We present use cases compiled through user interviews in multiple fields, including law enforcement, and describe the modeling and visualization tools design to aid in those use cases.
DEMs have been analysed using different visualization tools, such as principal component analysis, local relief factor, multiple hillshading, sky-view-factor and openness in order to improve visualization of the models, aiming at the identification of archaeological features.
