Bioinformatics in China: A Personal Perspective

Wei, Liping; Yu, Jun

doi:10.1371/journal.pcbi.1000020

Cited by 20 publications

(15 citation statements)

References 169 publications

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“…BMICC is mandated to build translational data chain from biology, physiology to medicine. Refer to an excellent review article by Wei et al [6] for more bioinformatics services offered by other Chinese groups. Useful as they are, these public Chinese bioinformatics services, however, have not become indispensable tools for Chinese life scientists to conduct their researches, due to their 'boutique workshop'-like operations: scattered resources, low engineering quality & stability, simple repetition in contents, and poor usability.…”

Section: Status Of Chinese Bioinformatics Servicesmentioning

confidence: 99%

Information engineering infrastructure for life sciences and its implementation in China

Zhu

Zhu²,

Xiao

2013

Sci. China Life Sci.

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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. biological database services, omics informatics, information engineering infrastructure for pan-omics studies Citation:Zhu W M, Zhu Y P, Yang X L. Information engineering infrastructure for life sciences and its implementation in China.

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Section: Status Of Chinese Bioinformatics Servicesmentioning

confidence: 99%

Information engineering infrastructure for life sciences and its implementation in China

Zhu

Zhu²,

Xiao

2013

Sci. China Life Sci.

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“…Grid and web services based approaches have been developed to face new challenges. Bioinformatics research has shifted from genomic sequences to microarray, medical informatics, pharmacogenetics and system biology (9).…”

Section: Perspectives and Challengesmentioning

confidence: 99%

Bioinformatics Education: Perspectives and Challenges

Dimitrov

Gouliamova

2009

Biotechnology & Biotechnological Equipment

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During the past years bioinformatics evolve from a predominantly descriptive discipline to an information science. As data converted to knowledge and empirical rules to principles, bioinformatics become a more fundamental discipline. It already starts to encompass not only biology , mathematics and computer science, but also physics and chemistry to make predictions based on general principles. This article proposes the learning outcomes that graduates should achieve to cope with the new biology and medicine.

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“…This sense of national priority echoes the tone of DBT’s earlier strategy document Bioinformatics policy in India , which emphasizes that the requirements of innovation in science and technology mean that it is “of utmost importance that India participates in and contributes to the ensuing global bioinformatics revolution” ( India DBT 2004 , 3). And in China, the concern for keeping pace with global life sciences innovation through investment in bioinformatics is reflected in the projects funded in that field by the Natural Science Foundation of China (NSFC), the National High-tech Development Programme (863 Programme), the National Key Basic Research Development Programme (973 Programme), the National Science and Technology Major Projects, and the National Key R and D Technology Programme ( Ai and Wang 2011 ; Wei and Lu 2008 ).…”

Section: Introductionmentioning

confidence: 99%

Bioinformatics and the Politics of Innovation in the Life Sciences

Salter

Zhou

Burton

et al. 2016

Science, Technology, & Human Values

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The governments of China, India, and the United Kingdom are unanimous in their belief that bioinformatics should supply the link between basic life sciences research and its translation into health benefits for the population and the economy. Yet at the same time, as ambitious states vying for position in the future global bioeconomy they differ considerably in the strategies adopted in pursuit of this goal. At the heart of these differences lies the interaction between epistemic change within the scientific community itself and the apparatus of the state. Drawing on desk-based research and thirty-two interviews with scientists and policy makers in the three countries, this article analyzes the politics that shape this interaction. From this analysis emerges an understanding of the variable capacities of different kinds of states and political systems to work with science in harnessing the potential of new epistemic territories in global life sciences innovation.

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Bioinformatics in China: A Personal Perspective

Cited by 20 publications

References 169 publications

Information engineering infrastructure for life sciences and its implementation in China

Information engineering infrastructure for life sciences and its implementation in China

Bioinformatics Education: Perspectives and Challenges

Bioinformatics and the Politics of Innovation in the Life Sciences

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