This application reports a method to monitor the common systemic response to cancer. We spectrally quantified over 200 serum proteins, and most notably enriched for sub-populations of the protease inhibitor Alpha-1-Antitrypsin, which would not have been observable without the method. From this data, we solicit that protein markers from categorical panels can distinguish a cancer serum phenotype at very early stages, possibly even before presentation of any clinical evidence.
This paper introduces development work being undertaken at Cambridge to create a new state of the art “-omics” analysis hardware and software platform that employs the open source software framework OpenCB. Such advancements in analytics platforms are vital to translate advances in population-scale -omics into personalized medicine technologies.
This white paper shares insights and best practices to design, implement and optimize on premise public, private, and hybrid cloud architectures. Such architectures mix file and object approaches to achieve an optimal balance between cost, performance, data governance, and protection requirements.