Presentation Title

Computational Analysis of Transposable Element Expressions

Presenter's Name(s)

Yousef KhanFollow

Abstract

The expression of transposable elements (TEs), which are interspersed repeat sequences that make up the majority of the human genome, plays an important role in the development of the body and in diseases. We will use Software for Quantifying Interspersed Repeat Expression (SQuIRE), the first RNA-seq analysis pipeline that provides a quantitative and locus-specific picture of TE expression, to conduct a computational analysis of the effects of TE on gene expression and associated phenotypes. In the study of neuroinflammation in substance use disorder.

Primary Faculty Mentor Name

Dawei Li

Status

Undergraduate

Student College

College of Engineering and Mathematical Sciences

Program/Major

Computer Science

Primary Research Category

Biological Sciences

Second Program/Major

Mathematics

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Computational Analysis of Transposable Element Expressions

The expression of transposable elements (TEs), which are interspersed repeat sequences that make up the majority of the human genome, plays an important role in the development of the body and in diseases. We will use Software for Quantifying Interspersed Repeat Expression (SQuIRE), the first RNA-seq analysis pipeline that provides a quantitative and locus-specific picture of TE expression, to conduct a computational analysis of the effects of TE on gene expression and associated phenotypes. In the study of neuroinflammation in substance use disorder.