Our session was mostly oriented towards fellows and trainees, so we went through some very easy concepts for experts, but something very important like quality of your data when you generate the data, how to understand if they’re good or bad, and how to interpret the data and how to move with consistency so every paper or study you do in different settings has the same methodology and ensuring that they are reproducible...
Our session was mostly oriented towards fellows and trainees, so we went through some very easy concepts for experts, but something very important like quality of your data when you generate the data, how to understand if they’re good or bad, and how to interpret the data and how to move with consistency so every paper or study you do in different settings has the same methodology and ensuring that they are reproducible. I think it’s often a very overlooked problem. Like people think that the purity is always high, our samples are always good, but most of the time the samples are actually bad, including in FISH, which is represented as the best that we have right now. But I think overall, that’s important to highlight the quality aspect of it. But the main question that you always have is, how can I do this in my place? And the answer is that most of the time you can’t, at least not whole genome sequencing. But you can definitely do a targeted panel. The problem is that institutions are not ready to commit to it for different reasons, because technically a targeted panel is cheaper than FISH. It’s more comprehensive, it’s more informative, but it’s not done routinely, but FISH is done routinely. So I think it’s just like we need a sort of conversion, but every conversion, like from fossil fuel to something better, it’s always hard, so it’s going to take time.
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