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Gene annotation bias impedes biomedical research

Winston A. Haynes, Aurelie Tomczak, Purvesh Khatri
doi: https://doi.org/10.1101/133108
Winston A. Haynes
1Stanford Institute for Immunity, Transplantation, and Infection, Stanford University, Stanford, California, USA
2Stanford Center for Biomedical Informatics Research, Department of Medicine, Stanford University, Stanford, California, USA
3Biomedical Informatics Training Program, Stanford University, Stanford, California, USA
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Aurelie Tomczak
1Stanford Institute for Immunity, Transplantation, and Infection, Stanford University, Stanford, California, USA
2Stanford Center for Biomedical Informatics Research, Department of Medicine, Stanford University, Stanford, California, USA
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Purvesh Khatri
1Stanford Institute for Immunity, Transplantation, and Infection, Stanford University, Stanford, California, USA
2Stanford Center for Biomedical Informatics Research, Department of Medicine, Stanford University, Stanford, California, USA
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  • For correspondence: pkhatri@stanford.edu
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1 Abstract

We found tremendous inequality across gene and protein annotation resources. We observe that this bias leads biomedical researchers to focus on richly annotated genes instead of those with the strongest molecular data. We advocate for researchers to reduce these biases by pursuing data-driven hypotheses.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted May 02, 2017.
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Gene annotation bias impedes biomedical research
Winston A. Haynes, Aurelie Tomczak, Purvesh Khatri
bioRxiv 133108; doi: https://doi.org/10.1101/133108
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Gene annotation bias impedes biomedical research
Winston A. Haynes, Aurelie Tomczak, Purvesh Khatri
bioRxiv 133108; doi: https://doi.org/10.1101/133108

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