Neeka Mardani-Kamali / Biology / Faculty Mentor: Alicia Rogers
Understanding gene regulation mechanisms is crucial for unraveling the complexities of biological processes. Our research aims to solve how scientists can effectively analyze gene expression to comprehend gene regulation in molecular biology. This research addresses these challenges by introducing a program tailored to analyze multi-omics sequences of a control and any number of treated species and using high-throughput methods to compare the gene expression between them at a list of specific locations of the user’s choosing. Our tool simplifies the comparison of gene activity by presenting a list of the calculated log2 fold-change between the species in an Excel, alongside the respective gene factor name and genomic position within the same row. With the data in a clear format, the users can more easily identify feedback motifs. Importantly, by automating this task, the program saves researchers valuable time, allowing for more efficient data analysis and accelerating discoveries in molecular biology. The future implication of this program comes from its inherent versatility. Researchers of any background can effortlessly input their own sequencing data along with their genomic positions of interest, allowing for rapid data analysis for all.
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