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Spatially resolved transcriptomics in immersive environments.
Bienroth, Denis; Nim, Hieu T; Garkov, Dimitar; Klein, Karsten; Jaeger-Honz, Sabrina; Ramialison, Mirana; Schreiber, Falk.
Afiliación
  • Bienroth D; Department of Computer and Information Science, University of Konstanz, Konstanz, Germany.
  • Nim HT; Cell Biology, Murdoch Children's Research Institute, Parkville, Melbourne, VIC, Australia.
  • Garkov D; Cell Biology, Murdoch Children's Research Institute, Parkville, Melbourne, VIC, Australia.
  • Klein K; Australian Regenerative Medicine Institute, Monash University, Clayton, Melbourne, VIC, Australia.
  • Jaeger-Honz S; Systems Biology Institute Australia, Clayton, Melbourne, VIC, Australia.
  • Ramialison M; Department of Computer and Information Science, University of Konstanz, Konstanz, Germany.
  • Schreiber F; Department of Computer and Information Science, University of Konstanz, Konstanz, Germany.
Vis Comput Ind Biomed Art ; 5(1): 2, 2022 Jan 10.
Article en En | MEDLINE | ID: mdl-35001220
Spatially resolved transcriptomics is an emerging class of high-throughput technologies that enable biologists to systematically investigate the expression of genes along with spatial information. Upon data acquisition, one major hurdle is the subsequent interpretation and visualization of the datasets acquired. To address this challenge, VR-Cardiomics is presented, which is a novel data visualization system with interactive functionalities designed to help biologists interpret spatially resolved transcriptomic datasets. By implementing the system in two separate immersive environments, fish tank virtual reality (FTVR) and head-mounted display virtual reality (HMD-VR), biologists can interact with the data in novel ways not previously possible, such as visually exploring the gene expression patterns of an organ, and comparing genes based on their 3D expression profiles. Further, a biologist-driven use-case is presented, in which immersive environments facilitate biologists to explore and compare the heart expression profiles of different genes.
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Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Vis Comput Ind Biomed Art Año: 2022 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Vis Comput Ind Biomed Art Año: 2022 Tipo del documento: Article