Abstract / Description of output
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.
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.
Original language | English |
---|---|
Journal | New Genetics and Society |
Early online date | 25 Nov 2020 |
DOIs | |
Publication status | E-pub ahead of print - 25 Nov 2020 |
Keywords / Materials (for Non-textual outputs)
- gene sequencing
- bioinformatics
- interdisciplinary research;
- formation of expertise
- organisation of research
- China