Assessing the Influence of Sequence Duplications and Genome Annotations on Transcriptional Profiling Measurements

Rodolfo Aramayo
Associate Professor, Department of Biology Texas A&M University

The rapid advancement of Next Generation DNA/RNA and Single Cell Sequencing Technologies is fundamentally reshaping the landscape of Biology. However, the main complexity lies in the processing of this data. For instance, RNA sequencing (RNA-seq), a widely adopted method for discerning gene expression variations between two conditions, can yield divergent results from identical datasets. This complexity further escalates when considering the source of Genome Annotation files employed in the analysis. In this discourse, I will elucidate the pitfalls inherent in current RNA-seq analysis methodologies and propose refinements to RNA-seq pipelines aimed at enhancing the accuracy, specificity, and rigor of studies on differential gene expression. Our endeavor underscores the pressing necessity for algorithmic innovations capable of evaluating the contribution of each transcript isoform to overall gene expression levels.

Zoom: https://kgi.zoom.us/j/94707393644