Hérisson Joan, Ferey Nicolas, Gros Pierre-Emmanuel, Gherbi Rachid
LIMSI-CNRS, B.P. 133, Orsay Cedex, France.
Cell Mol Biol (Noisy-le-grand). 2007 Jan 20;52(6):24-31.
Most of biologists work on textual DNA sequences that are limited to the linear representation of DNA. In this paper, we address the potential offered by Virtual Reality for 3D modeling and immersive visualization of large genomic sequences. The representation of the 3D structure of naked DNA allows biologists to observe and analyze genomes in an interactive way at different levels. We developed a powerful software platform that provides a new point of view for sequences analysis: ADNViewer. Nevertheless, a classical eukaryotic chromosome of 40 million base pairs requires about 6 Gbytes of 3D data. In order to manage these huge amounts of data in real-time, we designed various scene management algorithms and immersive human-computer interaction for user-friendly data exploration. In addition, one bioinformatics study scenario is proposed.
大多数生物学家研究的是文本形式的DNA序列,这些序列仅限于DNA的线性表示。在本文中,我们探讨了虚拟现实在大型基因组序列的三维建模和沉浸式可视化方面所提供的潜力。裸露DNA的三维结构表示使生物学家能够在不同层面以交互方式观察和分析基因组。我们开发了一个强大的软件平台,为序列分析提供了一个新视角:ADNViewer。然而,一条4000万个碱基对的经典真核染色体需要约6GB的三维数据。为了实时管理这些海量数据,我们设计了各种场景管理算法和沉浸式人机交互,以便进行用户友好的数据探索。此外,还提出了一个生物信息学研究场景。