Hi Erik and Alexander,
This is not currently possible, though I agree it would be a nice feature. Essentially, the problem is the following. When it's performing inference, Salmon uses a streaming algorithm, and then reduces the mapping information present into the reads into a set of equivalence classes (sets of fragments that map to the same subset of transcripts). Thus, during the "offline" phase of inference (where estimates of abundance are iterated until convergence), detailed information about where a fragment originates on a transcript is not present.
It would be possible to implement something like this, however, with one extra lightweight-mapping pass over the reads after inference has completed. The idea would be to evaluate the mapping positions in light of the inferred transcript abundances, and build a coverage profile of each transcript that reflects the inferred probability that a fragment came from each potential transcript. This would require, however, that the input file could be read through a second time, and so wouldn't be useable with the standard process substitution syntax etc. I'll look into this more. What type of output format would be desired?
--Rob