linkedin post 2018-04-13 16:35:16

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UNRESOLVED ISSUES. “While it is rare that cataloguing mutations in cancer alone will reveal both mechanisms of disease progression and potential drugable targets, we are left with the greater challenge of understanding how some cancers can relapse after treatment.” https://bmcsystbiol.biomedcentral.com/articles/10.1186/1752-0509-8-S2-S1 View in LinkedIn
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linkedin post 2018-04-13 16:31:38

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APPLICATIONS IN CANCER. “A particularly compelling set of use cases for the application of systems biology to understand the genomics of disease can be found in cancer. Efforts to characterize the most prevalent mutations of various cancers by The Cancer Genome Atlas (TCGA) Research Network have revealed recurrent mutations in specific pathways.” https://bmcsystbiol.biomedcentral.com/articles/10.1186/1752-0509-8-S2-S1 View in LinkedIn
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linkedin post 2018-04-13 16:30:48

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PREDICTIVE DATA. “Adopting methods from systems biology to marshall the data into tractable, predictive models can shed light on the contributions of these individual variants to the phenotypes under study.” https://bmcsystbiol.biomedcentral.com/articles/10.1186/1752-0509-8-S2-S1 View in LinkedIn
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linkedin post 2018-04-13 16:26:50

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HARD PREDICTIONS. “We are still unable to assess the contribution of these changes in functional elements to what are often complex phenotypes that arise from these combinatorial interactions between multiple variants occurring jointly at genes, let alone their interactions with the environment.” https://bmcsystbiol.biomedcentral.com/articles/10.1186/1752-0509-8-S2-S1 View in LinkedIn
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linkedin post 2018-04-12 05:03:14

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PROBABILITY MARKERS. “We currently lack the capability to evaluate the impact of most sequence variants found and what their functional consequences are. A decade of Genome-Wide Association Studies have revealed a multitude of common variants associated with various traits and diseases, each of which seems to contribute to or at least to increase the probability of a phenotype by a small amount.” https://bmcsystbiol.biomedcentral.com/articles/10.1186/1752-0509-8-S2-S1 View in LinkedIn
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linkedin post 2018-04-14 03:55:58

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WORLD POPULATION ANIMATION. Only when seen as a time lapse curve can you viscerally appreciate the data. “It took 200,000 years for our human population to reach 1 billion—and only 200 years to reach 7 billion.” One of the most important time lapse videos ever. https://youtu.be/PUwmA3Q0_OE View in LinkedIn
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