Human Tissue Bioinformatics - Transcriptomics, Metabolomics, Lipidomics, Proteomics
Human Tissue Bioinformatics to investigate role of obesity on cardiovascular diseases
Project description
Build a pipeline using R and/or Python for processing, analysis, and visualization of human cardiac and adipose (fat) tissue sequencing data sets including - transcriptomics, metabolomics, lipidomics, and proteomics.
Project outcome
Publication of multiomics data.
Learning outcomes
Learn to create a pipeline in R or Python for multiomics data processing.
Project details
| Length of commitment | Year-long; 10-12 months |
| Start time | Anytime |
| In-person, remote, or hybrid? | Hybrid |
| Level of collaboration | Small group project (2-3 students) |
| Benefits | Potential academic credit, work study, and/or stipend |
| Who is eligible | All undergraduate students who have proficiency in R and bioinformatics |
Project mentor
Kedar Aras
Assistant Professor
Physiology and Biophysics
Phone: (269) 519-3818
Email: aras@buffalo.edu
Start the project
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Preparation activities
The specific preparation activities for this project will be customized through discussions between you and your project mentor. Please be sure to ask them for the instructions to complete the required preparation activities.
Keywords
physiology, biophysics, cardiovascular disease, multiomics, data processing