I am a high school student, and this is a published paper that I wrote. If you want to read a shorter blog version of my work, please take a look at my blog: https://blog.liudaniel.com/n-grams-BK-trees. I enjoy working on bringing computer science algorithms to other fields like biology. I have also worked on algorithms for machine learning security.
The general problem that this paper addressed is grouping similar DNA/RNA sequences based on something known as a Unique Molecular Identifier, and then collapsing those groups into consensus sequences. This helps estimate the number of unique sequences while efficiently accounting for substitution errors in sequencing or PCR amplification.
The general problem that this paper addressed is grouping similar DNA/RNA sequences based on something known as a Unique Molecular Identifier, and then collapsing those groups into consensus sequences. This helps estimate the number of unique sequences while efficiently accounting for substitution errors in sequencing or PCR amplification.
If you have any questions, feel free to ask me!