Hi everyone, I am a 4-5th-year Bioinformatics PhD student in the US, and I am currently feeling quite stuck with my dissertation project. I am hoping to get advice from people who have experience in cancer genomics, somatic mutation analysis, normal tissue mosaicism, or tumor evolution. Broadly, I am working with somatic mutation signals from normal tissue sequencing data. My biggest challenge is that the signal is sparse, and I am struggling with how to frame the analysis in a way that is statistically solid and biologically meaningful. I know this is somewhat general because I am hesitant to share too many unpublished details publicly, but I would really appreciate guidance from someone familiar with: normal tissue mosaicism sparse somatic mutation data cancer genomics / tumor evolution statistical framing of low-signal genomic data If anyone has experience in this area and would be willing to give general advice, I would be very thankful. I would prefer DM if possible, but public comments are welcome.…