Masaomi Nishimura

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Increased information on the encoded mammalian genome is expected to facilitate an integrated understanding of complex anatomical structure and function based on the knowledge of gene products. Determination of gene expression-anatomy associations is crucial for this understanding. To elicit the association in the three-dimensional (3D) space, we introduce(More)
Using a recently invented technique for gene expression mapping in the whole-anatomy context, termed transcriptome tomography, we have generated a dataset of 36,000 maps of overall gene expression in the adult-mouse brain. Here, using an informatics approach, we identified a broad co-expression network that follows an inverse power law and is rich in(More)
In fundamental biological processes, cells often move in groups, a process termed collective cell migration. Collectively migrating cells are much better organized than a random assemblage of individual cells. Many molecules have been identified as factors involved in collective cell migration, and no one molecule is adequate to explain the whole picture.(More)
Recent progress in the field of biomedical imaging has led to the demand for large-scale three-dimensional (3D) image analysis in modern biology. Existing image-processing systems lack either cloud computing services or advanced 3D processing ability. This paper proposes a novel cloud-based communication platform for biomedical images. The system provides(More)
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