Originally posted by simonandrews
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From my point of view, a successful bioinformatics core needs to contain the capacity and expertise to both handle advanced analysis projects and to advise on how scientists can take the reigns of their own projects if appropriate. Standardized analysis should be passed onto those most familiar with their work because they are likely to glean greater insight from the process than your every day bioinformatician. This could be done on a platform that allows a simple way scientists to perform the analysis and for the core members to audit their work if things start to wander off the beaten path (which as we know, happens frequently). Non-standard analysis should be owned by a statistical or bioinformatics consulting group, and projects should be approached with an effort to understand as much about biology in place as much as anything else given that the statistical/bioinformatics expertise is already in place within the consulting group. The more interactive the collaboration, the more rich the experience and results.
Lastly, this should be done quickly. It takes a very keen industrial engineer to properly design and manage the process of analysis services. And I can tell you, mapping in load distribution that incorporates end users is a very difficult thing to put on a value-stream map, but the results are inspiring.
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