Visualization and Analysis of 3D Gene Expression Data

Bethel, E. Wes ; Rubel, Oliver ; Weber, Gunther H. ; Hamann, Bernd ; Hagen, Hans

关键词: 99;    ALGORITHMS;    ANIMALS;    GENES;    TRANSCRIPTION FACTORS gene expression visualization data analysis;   

DOI  :  10.2172/928239
RP-ID  :  LBNL--63658
PID  :  OSTI ID: 928239
Others  :  R&D Project: K11107
Others  :  Other: BnR: KJ0101030
Others  :  TRN: US200815%%532

美国|英语

来源: SciTech Connect

【 摘 要 】

Recent methods for extracting precise measurements ofspatial gene expression patterns from three-dimensional (3D) image dataopens the way for new analysis of the complex gene regulatory networkscontrolling animal development. To support analysis of this novel andhighly complex data we developed PointCloudXplore (PCX), an integratedvisualization framework that supports dedicated multi-modal, physical andinformation visualization views along with algorithms to aid in analyzingthe relationships between gene expression levels. Using PCX, we helpedour science stakeholders to address many questions in 3D gene expressionresearch, e.g., to objectively define spatial pattern boundaries andtemporal profiles of genes and to analyze how mRNA patterns arecontrolled by their regulatory transcription factors.