Pathway enrichment in DNAse1 footprinting data

Background: Unraveling the transcriptional network in human cells is of great interest in genetics. A new publicly available data sources with genome wide coverage released by the ENCODE Project have the potential to really advance our understanding of transcription regulations

Goal: Using these data sources, we will try to rediscover well known functional knowledge about transcription factors by just using this data set. If this is successful, we will expand our analysis to make novel predictions about functional involvment of transcription factors.

Mathematical tools: Statistics. The students will learn about enrichment analysis and make contact with bias and variance issues in a practical setting. The students will learn about and perform large scale data analysis. Care is taken, that handling of the data is as simple as possible.

Biological or Medical aspects:

Supervisors: Aurelien Mace & David Lamparter

Students:

Presentation:Media:PresentationForStudents21_2_13.pdf‎ see Genome Wide Association Studies, Media: McCarthy_review_GWAS.pdf , GWAS papers

Back to UNIL BSc course: "Solving Biological Problems that require Math 2012"