Proven skills in evaluating and manipulating bioinformatics data with software-based, statistical and data mining approaches. Successful at staying up to date on latest advances in field, including technologies, computational methods and modeling approaches. Proficient in Python, R, SPSS, PHP, HTML, and SQL programming.
I have been working on my thesis with my mentor (Dr. Jafri), which involves analyzing genetic variants published in previous research to discover their effect on protein structure and function to cause the phenotype appearance.
During my work, I gained the following computational skills:
I worked also with Dr. Don Seto and Dr. Patrick Gillevet in DNA assembly for human gut microbiome data from Saudi Arabia using Geneious software.
I worked also with Dr. Jeff Solka in analyzing high-throughput variant calling files (VCF) using VCF tools in Bioconductor in R
During my work, I gained the following computational skills:
I worked with Dr. Nathan Edwards in Mass-Spec project to develop a script to analyze (mzxml) Mass-Spec files and visualize it.
I worked with Dr. Karen Ross in my final internship project on discovering what is the relationship between autism and calcium signaling. we used the text mining tool RLIMS-P and the phosphorylation database, iPTMnet to gather what are the phosphorylation sites of ITPR, the kinases that phosphorylating it, and create PPI network using Cytoscape.
During my study in Biochemistry, I took an internship in the genetic department in King Fahd Medical Research Center, and I gained the following skills:
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