Daniel Rasicci

Background

About Daniel Rasicci

My name is Daniel Rasicci. I graduated with a Bachelor's of Science in Bioinformatics from Walsh University and a Master of Science in Bioinformatics from Johns Hopkins University Advanced Academic Program. I am currently a research assistant II at the Jackson Laboratory in the Murray Lab as part of the Genetic Resource Science department. My interests are very diverse, but I am most interested in genetics, genomics, transcriptomics, and proteomics. I am proficient in many molecular biology techniques such as PCR, restriction digests, plasmid cloning, cell culture, western blotting, immunofluorescent staining, skeletal preps, ChIP-seq, RNA-seq, and HiC. The types of cells I have worked with are podocytes and MEFs. Along with wet lab experience, I also spent a lot of time with in silico experiments and have high proficiency with bioinformatics applications. I have extensive experience working with computers including creating Java and Python programs, creating R scripts for statistical analysis and visualization, and using SQL, PHP, and HTML for database creation and management. I also am experienced in programs for sequence analysis such as BLAT, BLAST, Clustal-Omega, Mega, Sequencher, Benchling and Snapgene. I have used a program called YASARA for building protein models based on homology and molecular dynamics simulations. I am also experienced in building pipelines for processing, analyzing, and integrating multiomic data with 3D chromatin data. Finally, I also have very strong communication skills and I work very well both on my own and with a team. However, my greatest skill is that I am always willing to learn more. I have research experience most notably in the fields of gene regulation and transcriptomics studying the Gli transcription factors and the Shh signaling pathway in mice. I also have experience with research in evolutionary biology and microbiology. I studied a specific pseudogene in Arcanobacterium haemolyticum finding the mechanism of it’s evolution. This research was published in The Ohio Journal of Science. I have also done research on the SOX family of genes looking at evolution, expression, and variant data for each gene. This research is currently published in mAbs.