Abstract
Genomics has revolutionized basic and translational cancer therapeutics research like few other areas of biomedical investigation. Technologies for assaying whole genomes at a time, instead of one protein at a time have opened up research to exploration and discovery rather than hypothesis testing. This has had profound implications on the types of software and collaborative teams needed for reaping the rewards of these opportunities. We have found that an effective approach can be to develop software that empowers biomedical scientists to perform deep explorations on the plethora of new data themselves, rather than solely relying on bioinformatics and statistical collaborators. We will describe here one of the software packages we have developed to explore this approach.
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Simon, R., Zhao, Y. (2020). Constructing Software for Cancer Research in Support of Molecular PPM. In: Adam, T., Aliferis, C. (eds) Personalized and Precision Medicine Informatics. Health Informatics. Springer, Cham. https://doi.org/10.1007/978-3-030-18626-5_9
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DOI: https://doi.org/10.1007/978-3-030-18626-5_9
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