Human Tissue Bioinformatics - Transcriptomics, Metabolomics, Lipidomics, Proteomics

Transcriptomics, Metabolomics, Lipidomics, and Proteomics Human Cardiac and Fat tissue sequencing data sets.

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

1) Pipeline in R or Python for multiomics data processing

2) Publication of multiomics data 

Project details

Timing, eligibility and other details
Length of commitment Year-long (10-12 months) 
Start time Anytime
In-person, remote, or hybrid? Hybrid Project 
Level of collaboration Small group project (2-3 students) 
Benefits Academic credit
Work study
Stipend 
Who is eligible All undergraduate students who have proficiency in R, Bioinformatics 

Project mentor

Kedar Aras

Assistant Professor

Physiology and Biophysics

Phone: (269) 519-3818

Email: aras@buffalo.edu

Start the project

  1. Email the project mentor using the contact information above to express your interest and get approval to work on the project. (Here are helpful tips on how to contact a project mentor.)
  2. After you receive approval from the mentor to start this project, click the button to start the digital badge. (Learn more about ELN's digital badge options.) 
Start the Digital Badge

Preparation activities

Once you begin the digital badge series, you will have access to all the necessary activities and instructions. Your mentor has indicated they would like you to also complete the specific preparation activities below. Please reference this when you get to Step 2 of the Preparation Phase. 

  • If not already become acclimated with R

Keywords

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