Research Study Assistant Of Dr. Norden-Krichmar Of Uci Of Biostatistics
• Leveraged Scanpy for advanced analysis single-cell RNA sequencing datasets from NGS, employing AnnData objects in Python for efficient data handling and preparation, laying a solid foundation for accurate machine learning-based cell type prediction.• Utilized pandas for sophisticated data manipulation and analysis tasks, streamlining the processing of large genomic datasets to enhance research efficiency and data integrity.• Conducted comprehensive differential gene expression analysis to identify key biomarkers and cellular mechanisms in disease vs. control states, significantly contributing to therapeutic development.• Employed matplotlib to create intuitive and informative visualizations of genomic data, aiding in the interpretation of differential gene expression results and the identification of biomarkers. • Executed differential gene expression analysis to uncover significant molecular signatures between control and disease states. • Developed and implemented scalable algorithms on HPC3 infrastructure for processing and analysis of large datasets, employing cloud computing techniques to enhance scalability, reliability, and performance.