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design concepts, integrated data collection and analysis methods. The participant will have the opportunity to learn more in-depth statistical analysis techniques or molecular biology tools (bioinformatics
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fruit quality. Bioinformatics analysis of genomic features and genetic diversity in tropical fruit germplasm collections. Handling large genomics datasets. Preparation of data for scientific reports and
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of a mentor, the participant will be involved in microbial sequence data analyses using bioinformatic tools, identifying beneficial microbes from soil and plant rhizosphere, and compiling the research
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. The student will learn to utilize molecular techniques, microbial culturing, metabolomics, proteomics or bioinformatics/statistics skills. Mentor(s): The mentor for this opportunity is Shin-Yi Marzano
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completion prior to start of appointment. Preferred Skills: Knowledge and experience in molecular and NGS techniques for pathogen discovery as well as associated bioinformatics analyses. Point of Contact