Analysis of transcriptome complexity using deep RNA sequencing

Project Description
Deep RNA sequencing has emerged as a powerful technology for transcriptome analysis. By generating massive amount of short sequence reads from a given RNA sample, one can use RNA-Seq to define and quantify patterns of gene expression and RNA processing on a genomic scale. This project will develop methods for analysis of transcriptome complexity (gene expression, RNA processing, non-coding RNA) using RNA-Seq data, and apply these methods to study transcriptome regulation and mRNA isoform expression in development and disease.

Required Experience
One year of programming coursework such as PIC 10C or CS 32

Possibility of Funding

Contact Information
Yi Xing
yxing [at] ucla [dot] edu