Analysis of transcriptome complexity using deep RNA sequencing

Project Start Date: Summer 2013

Project Title: Analysis of transcriptome complexity using deep RNA sequencing.

Project Contact: Yi Xing (;

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: Experience with some programming language (C, C++, Python, Perl, etc.), some background knowledge of statistics. Prior experience in bioinformatics and high-throughput sequencing is desirable but not a must.

Possibility of Funding : Yes

Leave a Reply

Your email address will not be published. Required fields are marked *
You may use these HTML tags and attributes: <a href="" title=""> <abbr title=""> <acronym title=""> <b> <blockquote cite=""> <cite> <code> <del datetime=""> <em> <i> <q cite=""> <s> <strike> <strong>