It sounds like they are reading several DNA strands in parallel at the same time, and each output-sequence has noise. It seems to me the problem then becomes one of finding the most probable "signal sequence" given all those noisy output-sequences. Oh, and it also sounds like you wouldn't know which letter is number 1, which is number 2, etc. Is that right?
It seems like a fun problem in information theory. Can you point us to some articles or papers about current approaches to solving it?
Comments
It sounds like they are reading several DNA strands in parallel at the same time, and each output-sequence has noise. It seems to me the problem then becomes one of finding the most probable "signal sequence" given all those noisy output-sequences. Oh, and it also sounds like you wouldn't know which letter is number 1, which is number 2, etc. Is that right?
It seems like a fun problem in information theory. Can you point us to some articles or papers about current approaches to solving it?
Winston Timp has done some interesting work in this area (http://www.sciencedirect.com/science/article/pii/S0006349512...). Basically, by training a hidden Markov Model, you can get the most likely sequence from a noisy source.