During my undergraduate studies, I developed a keen interest in bioinformatics, particularly biodata. In the undergraduate innovation and entrepreneurship experiment, I had the opportunity to explore the potential of Python programming and the Flask framework on the front end. I developed software to facilitate the correction, aggregation, SNP analysis, and other processes of nanopore measurement results, which has been officially used in the laboratory.
In my graduation project, I had the opportunity to study the growth process of oligonucleotides as the only nitrogen source for the culture of the model organism, yeast. I was able to collect transcriptomics and proteomics data, which has helped to reveal some preliminary insights into the absorption and metabolism mechanism of oligonucleotides. The analysis of 11,538 differential genes and 3,329 differential proteins indicated that single nucleotides may enter nucleic acid synthesis and metabolic pathways such as purines, pyrimidines, and amino acids, and could potentially be converted into amino acids such as glutamate to meet the needs of nitrogen metabolism.
In the future, I would be interested in pursuing further research in the field of bioinformatics, particularly in the area of comparative genomics of intestinal microbes. I hope to contribute new ideas and tools to this field.
Previous publications:
1. Song Z, Hu K, Rao J, Cheng B, Xu L, An R, Liang X. Unexpected Mechanism and Inhibition Effect for Nonspecific Amplification Involving Dynamic Binding of Primers with Background DNA. Anal Chem. 2023 Nov 21;95(46):16819-16829.(IF: 6.7)