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DESCRIPTION (provided by applicant): Project Summary A central challenge for systems biology is to transform the data deluge characteristic of the post- genomic world, into the kind of knowledge that will lead to advances in biomedical science and clinical medicine. The transformation requires computer systems that will enable organizing, mining, analyzing and displaying the data in a manner that both informs and drives new hypotheses. VisANT (a visualization, mining system) and Predictome (an integrated database component) form an online graphical workspace and interface for principled integration, mining, discovery, and analysis of molecular networks. The system currently includes, or seamlessly accesses, data sets based on some 70 laboratory and computational methods, and more than 100 species. It has a distinguished and active advisory Board, more than 1000 registered users, is accessed by more than 1100 independent sites per month and has been cited approximately 300 times in the scientific literature. We propose substantially expanding the range of VisANT by including metabolic, chemical reaction, drug and disease related data. Equally importantly, a central goal of VisANT has been integration, and we will substantially extend its integrative capabilities, enabling the identification of disease related pathways, of similarities in mechanisms between phenotypically distinct diseases, and the identification of potential lead compounds for therapy. At the same time we propose substantial expansion of our outreach activities, and movement toward a true many-to many communication and discovery system.
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New Methods for Cancer Class Discovery and Prediction: Integration, visualization
New Methods for Cancer Class Discovery and Prediction: Integration, visualization
Computational Methods for Transcriptional Mapping of Eukaryotic Genomes
Visant-Predictome: A System for Integration, Mining, Visualization and Analysis
国内基金
海外基金
分化肌细胞脱细胞ECM-cells sheet 3D 支架构建及其促进容积性肌组织缺损再 生修复应用及机制研究
CAFs-TAMs-tumor cells调控在HRHPV感染致癌中的作用机制研究及AI可追溯预测模型建立
  • 批准号:
    82072862
  • 项目类别:
    面上项目
  • 资助金额:
    56.0万元
  • 批准年份:
    2020
  • 负责人:
    徐云升
  • 依托单位:
S100A8/A9--Myeloid cells特异性可溶性表氧化物水解酶(sEH)基因敲除改善胰岛素抵抗的新靶点
  • 批准号:
    82070825
  • 项目类别:
    面上项目
  • 资助金额:
    53.0万元
  • 批准年份:
    2020
  • 负责人:
    徐西振
  • 依托单位:
Leader cells通过CCL5调控糖酵解及基质硬度促进结直肠癌集体侵袭的 作用机制
  • 批准号:
    81903002
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    20.5万元
  • 批准年份:
    2019
  • 负责人:
    王斐斐
  • 依托单位: