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Information engineering infrastructure for life sciences and its implementation in China
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作者 ZHU WeiMin ZHU YunPing YANG XiaoLing 《Science China(Life Sciences)》 SCIE CAS 2013年第3期220-227,共8页
Biological data,represented by the data from omics platforms,are accumulating exponentially.As some other data-intensive scientific disciplines such as high-energy physics,climatology,meteorology,geology,geography and... Biological data,represented by the data from omics platforms,are accumulating exponentially.As some other data-intensive scientific disciplines such as high-energy physics,climatology,meteorology,geology,geography and environmental sciences,modern life sciences have entered the information-rich era,the era of the 4th paradigm.The creation of Chinese information engineering infrastructure for pan-omics studies(CIEIPOS) has been long overdue as part of national scientific infrastructure,in accelerating the further development of Chinese life sciences,and translating rich data into knowledge and medical applications.By gathering facts of current status of international and Chinese bioinformatics communities in collecting,managing and utilizing biological data,the essay stresses the significance and urgency to create a 'data hub' in CIEIPOS,discusses challenges and possible solutions to integrate,query and visualize these data.Another important component of CIEIPOS,which is not part of traditional biological data centers such as NCBI and EBI,is omics informatics.Mass spectroscopy platform was taken as an example to illustrate the complexity of omics informatics.Its heavy dependency on computational power is highlighted.The demand for such power in omics studies is argued as the fundamental function to meet for CIEIPOS.Implementation outlook of CIEIPOS in hardware and network is discussed. 展开更多
关键词 现代生命科学 信息化工程 基础设施 中国 生物数据 数据中心 数据密集型 生物信息学
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Bringing Biocuration to China 被引量:4
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作者 Zhang Zhang Weimin Zhu Jingchu Luo 《Genomics, Proteomics & Bioinformatics》 SCIE CAS CSCD 2014年第4期153-155,共3页
Biocuration involves adding value to biomedical data by the processes of standardiza- tion, quality control and information transferring (also known as data annotation). It enhances data interoperability and consist... Biocuration involves adding value to biomedical data by the processes of standardiza- tion, quality control and information transferring (also known as data annotation). It enhances data interoperability and consistency, and is critical in translating biomedical data into scientific discovery. Although China is becoming a leading scientific data producer, biocuration is still very new to the Chinese biomedical data community. In fact, there currently lacks an equivalent acknowledged word in Chinese for the word "curation", Here we propose its Chinese translation as "审编" (Pinyin: shen bian), based on its implied meanings taken by biomedical data community. The 8th International Biocuration Conference to be held in China (http://biocuration2015.tilsi.org) next year bears the potential to raise the general awareness in China of the significant role of biocuration in scientific discovery. However, challenges are ahead in its implementation. 展开更多
关键词 Biocuration Integration Big data DATABASE
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