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Collaborative partnership model to transform bioinformatics core into a highly effective research partner and multiply the impact

Karuturi, R. K. M.; Ramamoorthy, G. K.; TeHennepe, G.; George, J.; Philip, V.

2022-09-22 scientific communication and education
10.1101/2022.09.21.508957 bioRxiv
Show abstract

Many bioinformatics cores face a multitude of challenges. We recognized that the primary source of these challenges was the service-centric approach. So, we initiated the transformation of our bioinformatics core, Computational Sciences (CS), at the Jackson Laboratory (Jax) to be a science-centric collaborative research partner for our faculty and project stakeholders. We call our model as collaborative partnership model. With the effective replacement of the service model with the collaborative partnership model, CS now acts as both an effective collaborator and a co-driver of scientific research and innovation at Jax. In this paper, we describe the principles and practices we adopted to realize this transformation and present the resulting growth in the impact of CS in the research enterprise at Jax.

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The top 2 journals account for 50% of the predicted probability mass.

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"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.