{"title":"测序华大基因:在世界领先的基因测序设施的专业知识和研究组织的演变","authors":"Kai Wang, Xiaobai Shen, Robin Williams","doi":"10.1080/14636778.2020.1843148","DOIUrl":null,"url":null,"abstract":"The increasing importance of computational techniques in post-genomic life science research calls for new forms and combinations of expertise that cut across established disciplinary boundaries between computing and biology. These are most marked in large scale gene sequencing facilities. Here new ways of organising knowledge production, drawing on industrial models, have been perceived as pursuing efficiency and control to the potential detriment of academic autonomy and scientific quality. We explore how these issues are played out in the case of BGI (Beijing Genomics Institute prior to 2008). BGI (in Pinyin, Hua Da Jiyin– Big China Genome) is today the world’s largest centre for gene sequencing research. Semi-detached from traditional academic institutions, BGI has developed distinctive models for organising research and for developing expertise, informed by practices in US Information Technology and Life Science Laboratories, that differ from existing models of interdisciplinary research in academic institutions.","PeriodicalId":54724,"journal":{"name":"New Genetics and Society","volume":"4 1","pages":"305 - 330"},"PeriodicalIF":1.3000,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sequencing BGI: the evolution of expertise and research organisation in the world’s leading gene sequencing facility\",\"authors\":\"Kai Wang, Xiaobai Shen, Robin Williams\",\"doi\":\"10.1080/14636778.2020.1843148\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The increasing importance of computational techniques in post-genomic life science research calls for new forms and combinations of expertise that cut across established disciplinary boundaries between computing and biology. These are most marked in large scale gene sequencing facilities. Here new ways of organising knowledge production, drawing on industrial models, have been perceived as pursuing efficiency and control to the potential detriment of academic autonomy and scientific quality. We explore how these issues are played out in the case of BGI (Beijing Genomics Institute prior to 2008). BGI (in Pinyin, Hua Da Jiyin– Big China Genome) is today the world’s largest centre for gene sequencing research. Semi-detached from traditional academic institutions, BGI has developed distinctive models for organising research and for developing expertise, informed by practices in US Information Technology and Life Science Laboratories, that differ from existing models of interdisciplinary research in academic institutions.\",\"PeriodicalId\":54724,\"journal\":{\"name\":\"New Genetics and Society\",\"volume\":\"4 1\",\"pages\":\"305 - 330\"},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2020-11-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"New Genetics and Society\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1080/14636778.2020.1843148\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"BIOTECHNOLOGY & APPLIED MICROBIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"New Genetics and Society","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/14636778.2020.1843148","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
计算技术在后基因组生命科学研究中的重要性日益增加,需要新的形式和专业知识的组合,以跨越计算和生物学之间已建立的学科界限。这些在大规模基因测序设施中最为明显。在这里,利用工业模式组织知识生产的新方法被认为是追求效率和控制,而对学术自治和科学质量造成潜在损害。我们探讨了这些问题是如何在华大基因(2008年之前的北京基因组研究所)的案例中发挥作用的。华大基因(汉语拼音,Hua Da Jiyin - Big China Genome)是当今世界最大的基因测序研究中心。华大基因半脱离于传统学术机构,在美国信息技术和生命科学实验室的实践指导下,开发了独特的组织研究和开发专业知识的模式,与学术机构现有的跨学科研究模式不同。
Sequencing BGI: the evolution of expertise and research organisation in the world’s leading gene sequencing facility
The increasing importance of computational techniques in post-genomic life science research calls for new forms and combinations of expertise that cut across established disciplinary boundaries between computing and biology. These are most marked in large scale gene sequencing facilities. Here new ways of organising knowledge production, drawing on industrial models, have been perceived as pursuing efficiency and control to the potential detriment of academic autonomy and scientific quality. We explore how these issues are played out in the case of BGI (Beijing Genomics Institute prior to 2008). BGI (in Pinyin, Hua Da Jiyin– Big China Genome) is today the world’s largest centre for gene sequencing research. Semi-detached from traditional academic institutions, BGI has developed distinctive models for organising research and for developing expertise, informed by practices in US Information Technology and Life Science Laboratories, that differ from existing models of interdisciplinary research in academic institutions.
期刊介绍:
New Genetics and Society: Critical Studies of Contemporary Biosciences is a world-leading journal which:
-Provides a focus for interdisciplinary and multi-disciplinary, leading-edge social science research on the new genetics and related biosciences;
-Publishes theoretical and empirical contributions reflecting its multi-faceted development;
-Provides an international platform for critical reflection and debate;
-Is an invaluable research resource for the many related professions, including health, medicine and the law, wishing to keep abreast of fast changing developments in contemporary biosciences.
New Genetics and Society publishes papers on the social aspects of the new genetics (widely defined), including gene editing, genomics, proteomics, epigenetics and systems biology; and the rapidly developing biosciences such as biomedical and reproductive therapies and technologies, xenotransplantation, stem cell research and neuroscience. Our focus is on developing a better understanding of the social, legal, ethical and policy aspects, including their local and global management and organisation.