I came from a wet lab background and now doing a Ph.D. in genomics. Our lab is pretty decent in publication and my advisor often says the training we received in handling large amount of data is very desirable out there, etc. I can sense the need for this type of training is strong but I don't feel I'm getting the best or most effective training in how to handle data or being a good bioinformatics even though our program is ranked pretty high in US.
Just looking at my peers, I felt there is a great level of variation in the level of technical skills students have in the genomics filed. I struggle to find a "textbook" on the best practice type of thing. How did you learn it or suggest to do so in an efficient, systematic way, for students with biology, non-computer science background?