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1.
BioMiner
Joachim Selbig, Kristina Gruden, Michal Or-Guil, Christian Schichor, Chris Bauer, Karol Stec, Alexander Glintschert, Johannes Schuchhardt, 2015, original scientific article

Abstract: Personalized medicine is promising a revolution for medicine and human biology in the 21st century. The scientific foundation for this revolution is accomplished by analyzing biological high-throughput data sets from genomics, transcriptomics, proteomics, and metabolomics. Currently, access to these data has been limited to either rather simple Web-based tools, which do not grant much insight or analysis by trained specialists, without firsthand involvement of the physician. Here, we present the novel Web-based tool “BioMiner,” which was developed within the scope of an international and interdisciplinary project (SYSTHER†) and gives access to a variety of high-throughput data sets. It provides the user with convenient tools to analyze complex cross-omics data sets and grants enhanced visualization abilities. BioMiner incorporates transcriptomic and cross-omics high-throughput data sets, with a focus on cancer. A public instance of BioMiner along with the database is available at http://systherDB.microdiscovery.de/, login and password: “systher”; a tutorial detailing the usage of BioMiner can be found in the Supplementary File.
Keywords: data mining, multiomics data integration, biomarker detection, pathway visualization, personalized medicine, cancer
Published in DiRROS: 26.07.2024; Views: 187; Downloads: 164
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2.
Not another hillshade: alternatives which improve visualizations of bathymetric data
Ana Novak, Sašo Poglajen, Marko Vrabec, 2023, original scientific article

Abstract: Increasing awareness of the importance of effective communication of scientific results and concepts, and the need for more accurate mapping and increased feature visibility led to the development of novel approaches to visualization of high-resolution elevation data. While new approaches have routinely been adopted for land elevation data, this does not seem to be the case for the offshore and submerged terrestrial realms. We test the suitability of algorithms provided by the freely-available and user-friendly Relief Visualization Toolbox (RVT) software package for visualizing bathymetric data. We examine the algorithms optimal for visualizing the general bathymetry of a study area, as well as for highlighting specific morphological shapes that are common on the sea-, lake- and riverbed. We show that these algorithms surpass the more conventional analytical hillshading in providing visualizations of bathymetric data richer in details, and foremost, providing a better overview of the morphological features of the studied areas. We demonstrate that the algorithms are efficient regardless of the source data type, depth range, resolution, geographic, and geological setting. The summary of our results and observations can serve as a reference for future users of RVT for displaying bathymetric data.
Keywords: bathymetry, RVT, visualization, hillshade, geomorphology, marine geology, multibeam
Published in DiRROS: 01.12.2023; Views: 465; Downloads: 147
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