Ege Okumuş
Guest Researcher, Dunkelmann Lab, Plant Synthetic Biology
Experience
Guest Researcher, Dunkelmann Lab, Plant Synthetic Biology
Max Planck Institute of Molecular Plant Physiology
- Developed and maintained data analysis pipelines for plant synthetic genomics with a focus on chloroplast engineering.
- Developed a pipeline to detect true NUPTs (nuclear plastid DNA insertions) in plant genomes using long-read sequencing data.
Research Intern, Molecular Biology and Genetics
PreOmics GmbH
- Experienced in applying statistical analysis to large-scale LC-MS/MS proteomics data, including biomarker discovery for non-small cell lung cancer (NSCLC).
- Specialized in applying the empirical Bayes method to protein-wise linear models.
- Developed R Shiny app for data visualization and interactive analysis.
M. Sc. Plant Sciences
Ludwig Maximilian University of Munich
Erasmus+ Exchange Semester
Freie Universität Berlin
- Completion of Master’s level courses as a Bioinformatics student
B. Sc. Molecular Biology and Genetics
Izmir Institute of Technology
High School
Kabatas High School
Summary
Experienced in applying statistical analysis to large-scale LC-MS/MS proteomics data, including biomarker discovery for non-small cell lung cancer (NSCLC). Specialized in applying the empirical Bayes method to protein-wise linear models. Further expertise includes R Shiny app development for data visualization and interactive analysis.
Skills
- R Studio: Shiny App, R Markdown
- Hpc & Linux/unix: Ssh Client, Bash Scripting
- Web Design: Html, Javascript
- Sequencing Workflows: Dorado, Deepmod2
- Embedded Systems: Arduino (C++)
- Python: Numpy, Scipy, Pandas
- Github
Languages
Education
Ludwig Maximilian University of Munich
M. Sc. Plant Sciences · Plant Sciences · Munich, Germany
Freie Universität Berlin
Bioinformatics · Berlin, Germany
Izmir Institute of Technology
B. Sc. Molecular Biology and Genetics · Molecular Biology and Genetics · İzmir, Turkey
Profile
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