Literature DB >> 19177373

CAVEman: Standardized anatomical context for biomedical data mapping.

Andrei L Turinsky1, Elena Fanea, Quang Trinh, Stephen Wat, Benedikt Hallgrímsson, Xiaoli Dong, Xueling Shu, Julie N Stromer, Jonathan W Hill, Carol Edwards, Brenda Grosenick, Masumi Yajima, Christoph W Sensen.   

Abstract

The authors have created a software system called the CAVEman, for the visual integration and exploration of heterogeneous anatomical and biomedical data. The CAVEman can be applied for both education and research tasks. The main component of the system is a three-dimensional digital atlas of the adult male human anatomy, structured according to the nomenclature of Terminologia Anatomica. The underlying data-indexing mechanism uses standard ontologies to map a range of biomedical data types onto the atlas. The CAVEman system is now used to visualize genetic processes in the context of the human anatomy and to facilitate visual exploration of the data. Through the use of Javatrade mark software, the atlas-based system is portable to virtually any computer environment, including personal computers and workstations. Existing Java tools for biomedical data analysis have been incorporated into the system. The affordability of virtual-reality installations has increased dramatically over the last several years. This creates new opportunities for educational scenarios that model important processes in a patient's body, including gene expression patterns, metabolic activity, the effects of interventions such as drug treatments, and eventually surgical simulations.

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Mesh:

Year:  2008        PMID: 19177373     DOI: 10.1002/ase.3

Source DB:  PubMed          Journal:  Anat Sci Educ        ISSN: 1935-9772            Impact factor:   5.958


  6 in total

1.  iCAVE: an open source tool for visualizing biomolecular networks in 3D, stereoscopic 3D and immersive 3D.

Authors:  Vaja Liluashvili; Selim Kalayci; Eugene Fluder; Manda Wilson; Aaron Gabow; Zeynep H Gümüs
Journal:  Gigascience       Date:  2017-08-01       Impact factor: 6.524

2.  BRENDA in 2015: exciting developments in its 25th year of existence.

Authors:  Antje Chang; Ida Schomburg; Sandra Placzek; Lisa Jeske; Marcus Ulbrich; Mei Xiao; Christoph W Sensen; Dietmar Schomburg
Journal:  Nucleic Acids Res       Date:  2014-11-05       Impact factor: 16.971

3.  BRENDA in 2017: new perspectives and new tools in BRENDA.

Authors:  Sandra Placzek; Ida Schomburg; Antje Chang; Lisa Jeske; Marcus Ulbrich; Jana Tillack; Dietmar Schomburg
Journal:  Nucleic Acids Res       Date:  2016-10-19       Impact factor: 16.971

4.  Instant Feedback Rapid Prototyping for GPU-Accelerated Computation, Manipulation, and Visualization of Multidimensional Data.

Authors:  Maximilian Malek; Christoph W Sensen
Journal:  Int J Biomed Imaging       Date:  2018-06-03

5.  BodyParts3D: 3D structure database for anatomical concepts.

Authors:  Nobutaka Mitsuhashi; Kaori Fujieda; Takuro Tamura; Shoko Kawamoto; Toshihisa Takagi; Kousaku Okubo
Journal:  Nucleic Acids Res       Date:  2008-10-03       Impact factor: 16.971

6.  Spatiotemporal integration of molecular and anatomical data in virtual reality using semantic mapping.

Authors:  Jung Soh; Andrei L Turinsky; Quang M Trinh; Jasmine Chang; Ajay Sabhaney; Xiaoli Dong; Paul Mk Gordon; Ryan Pw Janzen; David Hau; Jianguo Xia; David S Wishart; Christoph W Sensen
Journal:  Int J Nanomedicine       Date:  2009-04-01
  6 in total

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