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Hello #5
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It will depend on the expression levels of the gene, as well as on the stoichiometry of the modification at a given site. If the site is only modified at low levels and you have poor coverage, you won't be able to detect anything. We have not benchmarked the optimum coverage needed, as in our cases we were using high coverage data from training/testing. I would recommend not going below 50reads coverage per site, but as mentioned, we have not done any type of benchmarking to determine this number. |
However, it is something that could be done as improvement as I agree that your question is relevant to apply the software to unknown scenarios. Thanks for your contribution |
Thanks for the response , We are interested in comparing the m6a topology of infected and control transcriptome of a animal through nanopore . What special things you would like to suggest ? |
As we know m6a is most prevalent modifications !! |
Detecting m6A modifications in animals using nanopore will likely require either the use of improved protocols to improve the throughput, the use of many flowcells (expensive), or the use of promethion direct RNA sequencing. So unless you have access to promethion sequencing, I think that it might be a bit early to move forward with such design, but I could be wrong. Best of luck! |
Thanks for your Response, Lets us talk about only mRNAs not whole transcriptome |
Hi ishaaq, I believe that this type of question would be best that you would address to Nanopore using the community portal. We cannot provide expertise on how many flowcells you will need for your specific biological questions or organisms. We are currently working on this with our own samples and cannot provide an answer for your specific experiment. |
How much coverage do we need for a direct RNA sequencing experiment that would be optimum for identification of m6a sites ?
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