Sentence examples for mining and visualization from inspiring English sources
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.
ClusterSculptor is designed to be coupled to SpectraMiner, our data mining and visualization software package.
Shen, L., Shao, N., Liu, X. & Nestler, E. ngs.plot: Quick mining and visualization of next-generation sequencing data by integrating genomic databases.
Readers will learn to apply advanced data mining and visualization techniques to make sense of temporal, geospatial, topical, and network data.
However, data does not equal actionable information, and guidelines for appropriate data capture, harmonization, integration, mining, and visualization need to be established to fully harness its potential.
Making use of digitally scanned periodical sources, users can deploy Project Arclight as a self-professes "data mining and visualization tool" to at once search through the Media History Digital Library and to graph resulting analytics.
In a world where data mining and visualizations have become more fluid and accessible, it's no surprise that the tension between numbers and narrative has not disappeared.
When combined with new automated data-mining and visualization software, these databases can be powerful sources of rich competitive intelligence.
His current research centers on the use of text-mining and visualization tools for mapping recent trends in bio-and nanotechnology relevant for policy research, the use of computers and digital imaging in biomedical research, and the history of interactive simulations and video games.
Data-mining and visualization was performed using the Genedata Analyst 4.1 package.
Big data analytics research applies machine learning, data mining, statistics, and visualization techniques in order to collect, process, analyze, visualize, and interpret results [1].
