Personal Genomics -George Church
The most interesting bit of information I found was the idea of Moore's law in Biology. Moore's law is easily understandable looking at computers and other electronics over the years but its impact on Biology is less observable. It's very interesting that biological development and Moore's law somewhat tracked each other through time until genomic reading/writing increased by 5 fold due to multiplexing. I find this fascinating because the pace of Moore's law is fast yet our genomic sequencing ability is advancing at a faster pace. It makes you realize that the biological pace of innovation over the next 5-10 years will be unbelievable. https://www.labxchange.org/library/pathway/lx-pathway:0b417a9e-6227-44a8-a887-dbfdf44e37e3/items/lx-pb:0b417a9e-6227-44a8-a887-dbfdf44e37e3:lx_simulation:f6d09171?source=%2Flibrary%2Fclusters%2Flx-cluster%3AModernPrediction
Epidemiology -Megan Murray
I would have asked how we can better find genomic correlations across human disease traits? Megan brings up an interesting point about diabetes and TB correlation and I think it would be incredibly beneficial to look for correlations across any disease and any gene. Especially as our genomic sequencing ability continues to advance, I think this could play a massive role in slowing or even preventing the impact of certain diseases. It'd be interesting to know the diseases we already have correlations for and then also in ways we could start to add data and look for correlations in others. https://www.labxchange.org/library/pathway/lx-pathway:0b417a9e-6227-44a8-a887-dbfdf44e37e3/items/lx-pb:0b417a9e-6227-44a8-a887-dbfdf44e37e3:lx_simulation:7f50189c?source=%2Flibrary%2Fclusters%2Flx-cluster%3AModernPrediction
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