Development of methods for high throughput, region-specific transcriptome analysis and its application in psychiatric diseases.

The goal of this PhD project is to develop methodologies for high throughput transcriptome analysis. The methodology will be a combination of bioinformatics and new experimental techniques and will consist of three steps. The first step is the prediction of transcripts in a genomic region. For this prediction we will combine existing and new software to create a sensitive prediction pipeline. The second step is the high throughput experimental detection of the transcripts by using the massive parallel sequencing platform GS FLX from Roche. This platform generates transcript sequences which will be annotated/analyzed in a third step.

Keywords:GENETIC DISEASE, GENE DETECTION, MOLECULAR GENETICS

Disciplines:Scientific computing, Bioinformatics and computational biology, Genetics, Systems biology, Molecular and cell biology, Public health care, Public health services