Given two or more reads library sampled from their respective tissues (e.g. cancer or non-cancer), we have a method that can assign/classify the reads to their respective source genome. But without mapping to the reference genome. It also consider error rates in the reads and coverage.
This is inspired from the fact that there are no-identical genomes. Mapping them will lead to loss of information.
One possible application is to use it for finding rearrangement breakpoints reads. What are the other potential application of such methods?
Suggestion for related publications can be useful too.