| Budget Amount *help |
¥58,630,000 (Direct Cost: ¥45,100,000、Indirect Cost: ¥13,530,000)
Fiscal Year 2021: ¥10,660,000 (Direct Cost: ¥8,200,000、Indirect Cost: ¥2,460,000)
Fiscal Year 2020: ¥10,660,000 (Direct Cost: ¥8,200,000、Indirect Cost: ¥2,460,000)
Fiscal Year 2019: ¥10,660,000 (Direct Cost: ¥8,200,000、Indirect Cost: ¥2,460,000)
Fiscal Year 2018: ¥10,660,000 (Direct Cost: ¥8,200,000、Indirect Cost: ¥2,460,000)
Fiscal Year 2017: ¥15,990,000 (Direct Cost: ¥12,300,000、Indirect Cost: ¥3,690,000)
|
|---|
| Outline of Final Research Achievements |
This study aims to develop a robust system that enables the integrated analysis and visualization of large-scale data including single-cell and bulk assays and to contribute to identifying novel biological insights in the collaboration with other groups. We have developed 1) a robust method for detecting and comparing communities in gene co-expression networks constructed from single-cell transcriptome data, which could detect novel candidate marker genes of cancer stem cells, 2) a comprehensive and user-friendly platform for single-cell analysis and contribution to the biological analysis of other groups, and 3) a strategy and tools for large-scale bulk epigenome analysis and genome conformation analysis. The resources and developed tools have been published and publicly available.
|
