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  1.  2
    Bidirectional Shaping and Spaces of Convergence: Interactions Between Biology and Computing From the First DNA Sequencers to Global Genome Databases. [REVIEW]Miguel García-Sancho & Peter A. Chow-White - 2012 - Science, Technology, and Human Values 37 (1):124-164.
    This article proposes a new bi-directional way of understanding the convergence of biology and computing. It argues for a reciprocal interaction in which biology and computing have shaped and are currently reshaping each other. In so doing, we qualify both the view of a natural marriage and of a digital shaping of biology, which are common in the literature written by scientists, STS, and communication scholars. The DNA database is at the center of this interaction. We argue that DNA databases (...)
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    From the Bench to the Bedside in the Big Data Age: Ethics and Practices of Consent and Privacy for Clinical Genomics and Personalized Medicine.Peter A. Chow-White, Maggie MacAulay, Anita Charters & Paulina Chow - 2015 - Ethics and Information Technology 17 (3):189-200.
    Scientists and clinicians are starting to translate genomic discoveries from research labs to the clinical setting. In the process, big data genomic technologies are both a risk to individual privacy and a benefit to personalized medicine. There is an opportunity to address the social and ethical demands of various stakeholders and shape the adoption of diagnostic genome technologies. We discuss ethical and practical issues associated with the networking of genomics by comparing how the European Union and North America understand and (...)
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  3. The Cancer Multiple: Producing and Translating Genomic Big Data Into Oncology Care.Peter A. Chow-White & Tiên-Dung Hà - 2021 - Big Data and Society 8 (1).
    This article provides an ethnographic account of how Big Data biology is produced, interpreted, debated, and translated in a Big Data-driven cancer clinical trial, entitled “Personalized OncoGenomics,” in Vancouver, Canada. We delve into epistemological differences between clinical judgment, pathological assessment, and bioinformatic analysis of cancer. To unpack these epistemological differences, we analyze a set of gazes required to produce Big Data biology in cancer care: clinical gaze, molecular gaze, and informational gaze. We are concerned with the interactions of these bodily (...)
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