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
Yes
Contact Information
Yi Xing
yxing [at] ucla [dot] edu
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
Yes
Contact Information
Yi Xing
yxing [at] ucla [dot] edu
Project Description
We have obtained deep RNA sequencing data from a panel of inbred mouse strains. The genome of these strains is well characterized, allowing fine mapping of loci involved in regulating gene expression. The project is to identify loci involved in splice site selection.
Required Experience
The more background in C, Perl and R, the better. Some knowledge of genetic mapping and splicing desirable.
Possibility of Funding
No
Contact Information
Des Smith
DSmith [at] mednet [dot] ucla [dot] edu
We have obtained deep RNA sequencing data from a panel of inbred mouse strains. The genome of these strains is well characterized, allowing fine mapping of loci involved in regulating gene expression. The project is to identify loci involved in splice site selection.
Required Experience
The more background in C, Perl and R, the better. Some knowledge of genetic mapping and splicing desirable.
Possibility of Funding
No
Contact Information
Des Smith
DSmith [at] mednet [dot] ucla [dot] edu
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