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This seems very fishy to me. All they have is a flashy Youtube video and some vague descriptions on their website. There's absolutely no information on their methods or technology. Since they're asking for so little funding, the test is probably not a new sequencing technology.
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Originally posted by kcchan View PostThis seems very fishy to me. All they have is a flashy Youtube video and some vague descriptions on their website. There's absolutely no information on their methods or technology. Since they're asking for so little funding, the test is probably not a new sequencing technology.
we hacked the proton protocol for one part of what we figured out. and then we borrowed a ton of super-computing time for the rest of it. we tested it and hammered out the bugs. now we have it figured out, we think.
basically, we figured out how to re-create the cancer gene tests that are current today but in a way that actually works. we never miss a gene and we never make an error (so far at least...we still have less than half of the complete set of genes). and we can jam a ton of people onto one run.
anyhow, just wanted to say all that since you seemed to think we were fishy. we're not. we just wanna try to finish making this test so that we can run more samples and therefore get better results in our lab...and if it works for us then we wanna make it available to other labs FOR FREE until we run out of our master mixes (which, hopefully, is thousands of sample runs). we didn't talk about the tech too much cuz it is too complicated for a crowd-sourcing site, in our opinion.
also, if any cancer labs have any ideas (or even read this post) and they would like to share with us any new/interesting additional regions that we could scan for (in the cancer genome only) then that would also be nice. we have a little more bandwidth than we were expecting and thought that adding some additional genes or other regions might make sense. if we couldn't decide on anything then were just gonna add some promoter regions or anything that seemed of interest near those exons (don't laugh at us for our ideas...we are math and computer guys for the most part and sometimes come up with stupid ideas when it comes to biochem).
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Hi math_guy,
Thanks for your reply. I apologize for sounding so negative in my first post. I'm always weary of claims like "99.9999%" accuracy without any solid data to back it up. An extra decimal place is a 10 fold decrease in error rate, so it's important to have results that compares your methods with others to validate yours numbers.
That said, your project seems very promising. I like that you're going after a crowd sourcing model to get the general public involved with science. I would suggest speaking with people at other projects like uBiome to see if you can get tips to increase your success rate for funding. Good luck!
-kcchan
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Originally posted by kcchan View PostHi math_guy,
Thanks for your reply. I apologize for sounding so negative in my first post. I'm always weary of claims like "99.9999%" accuracy without any solid data to back it up. An extra decimal place is a 10 fold decrease in error rate, so it's important to have results that compares your methods with others to validate yours numbers.
That said, your project seems very promising. I like that you're going after a crowd sourcing model to get the general public involved with science. I would suggest speaking with people at other projects like uBiome to see if you can get tips to increase your success rate for funding. Good luck!
-kcchan
anyhow, again thanks for the good luck. we will need it!
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The field of epigenetics has traditionally concentrated more on DNA and how changes like methylation and phosphorylation of histones impact gene expression and regulation. However, our increased understanding of RNA modifications and their importance in cellular processes has led to a rise in epitranscriptomics research. “Epitranscriptomics brings together the concepts of epigenetics and gene expression,” explained Adrien Leger, PhD, Principal Research Scientist...-
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Proteins are often described as the workhorses of the cell, and identifying their sequences is key to understanding their role in biological processes and disease. Currently, the most common technique used to determine protein sequences is mass spectrometry. While still a valuable tool, mass spectrometry faces several limitations and requires a highly experienced scientist familiar with the equipment to operate it. Additionally, other proteomic methods, like affinity assays, are constrained...-
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