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作 者:Bing He Xiaojie Qiu Peng Li Lishan Wang Qi Lv Tieliu Shi
机构地区:[1]Center for Bioinformatics and Computational Biology, and The Institute of Biomedieal Sciences, School of Life Sciences, East China Normal University, 500 Dongchuan Road, Shanghai 200241, China [2]College of Life Sciences, The Northeast Forestry University, Harbin, Heilongjiang 150040, China [3]Daqing Institute of Biotechnology, Northeast Forestry University, Daqing, Heilongjiang 163316, China [4]Shanghai Information Center for Life Sciences, Chinese Academy of Science 319 Yueyang Road, Shanghai 200031, China
出 处:《Cell Research》2010年第6期732-734,共3页细胞研究(英文版)
基 金:Supplementary information is linked to the online version of the paper on the Cell Research website. Acknowledgments We are very thankful to Dr Dusan M Jeftinija (Department of Neurosience & Anatomy, University of Louisville, Kentucky, USA) for his help during the manuscript preparation. This work was supported by grants from the State Key Program of Basic Research of China (2007CB108800, 2009CB918400, 2010CB912102), the Hi-Tech Research and Development Program of China (2006AA02Z313), National Natural Science Foundation of China (30870575) and Science and Technology Commission of Shanghai Municipality (06DZ22923).
摘 要:Dear Editor, As a complex disease, the development and progression of hepatocellular carcinoma (HCC) involves the interactions of multiple proteins, genes and miRNAs in various biological pathways, and it has been extensively studied with different high-throughput techniques. However, efforts to integrate multiple data sources at different levels, especially with regard to biological pathways and interaction networks, are still negligible in the HCC research field.
关 键 词:网络数据库 肝癌 生物途径 相互作用 MIRNA 肝细胞癌 数据来源 蛋白质
分 类 号:Q78[生物学—分子生物学] TP311.13[自动化与计算机技术—计算机软件与理论]
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