I'm using pizzly to look at the TMPRSS2-ERG fusion from prostate cancers. Pizzly detects hundreds of different sequences of this particular fusion from 5 samples, each represented by a format of, for instance, ENST00000497881_0:78_ENST00000288319_339:4919. The sheer number of them was a bit of surprise, although I was not sure how many would be proper. I wonder are those sequences all productive (in the sense that they all can be translated). Is there a way by which I can tell which ones are more confident than the others? Thanks a lot!
Hi,
I'm using pizzly to look at the TMPRSS2-ERG fusion from prostate cancers. Pizzly detects hundreds of different sequences of this particular fusion from 5 samples, each represented by a format of, for instance, ENST00000497881_0:78_ENST00000288319_339:4919. The sheer number of them was a bit of surprise, although I was not sure how many would be proper. I wonder are those sequences all productive (in the sense that they all can be translated). Is there a way by which I can tell which ones are more confident than the others? Thanks a lot!
Max