From Transcriptomics to Therapeutics: Mastering Bioinformatics Analysis and using the skills to research a specific disease

Learn the fundamental skills necessary and develop a passion for future explorations in bioinformatics.

This is a pilot project which will help evolve the Mentor Chains® platform. In addition to the display of technical and soft skills through the 1-click® Resume, participants can elect to be showcased on our social media pages.

Join the Bioinformatics-1 Group to receive all project announcements, including the call for student leads and other student participants.

Project Overview:

  1. Project Ramp-Up

    Study the history of and biology behind the transcriptomics revolution, from microarrays to next-generation sequencing to the future of thirdgeneration sequencers. Learning Resources.

  2. Master Bioinformatics Analysis

    Perform introductory bioinformatics analysis on datasets from the Gene Expression Omnibus (GEO). Use GEO2R to perform differential expression analysis. Those familiar with R statistical computing environment may choose to retrieve the datasets directly from GEO and perform the analysis in R.

  3. Research a specific disease

    Study a disease of your choosing or work with the disease picked by the project lead. Perform KEGG enrichment analysis in R and visualize their results. Probe the therapeutic relevance of your findings via literature searches.


  • Bioinformatics
  • R
  • Literature Survey
  • Communication
  • Teamwork
  • Leadership & Mentoring (project & task leads)


Summer 2020


  • Prior experience with Bioinformatics & R required for project leads.
  • Participation in the related webinar.
  • If you missed the webinar, watch the recorded STEMCasts® and participate in the discussions.

stemcasts-bio1 (2)