Analysis and Visualization of Single-Cell Gene Expression Data in Skin Differentiation

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Understanding mechanisms of gene regulation driving differentiation in developmental pathways can provide insights and implications in human diseases including cancer. This project aims to study single cell gene expression data collected from a system of epidermal differentiation in order to study the transition from progenitors cell types to differentiated keratinocytes in human. Single cell data has been collected from multiple time points along differentiation and we intend to analyze the data with our computational tools and visualize the trajectory of differentiation towards identifying regulatory programs driving differentiation. The skin is the largest organ of the human body and is the site of many human diseases; findings made on our epidermal differentiation system will potentially impact up to 100 human disorders.

Lab: Pe'er, 417 E 68th Street, 11th fl, New York, NY 10065

Direct Supervisor: Dr. Dana Pe'er

Position Dates: 4/1/2017 - 8/30/2017

Hours per Week: 20

Paid Position: No

Credit: No

Qualifications: computer programming; basic biology and genomics

Eligibility: Freshman, Sophomore, Junior; SEAS only

Dr. Dana Pe'er, [email protected], 417 E 68th Street, 11th Fl, New York, NY 10027 Room Z1160