Development and application of computational methods to analyze next generation sequence data to characterize both normal and disease causing variation, and build de novo genome assemblies
- European Molecular Biology Organization Installlation Grant (IG-2521), 2013-2016
- PI: Can Alkan
- Total €150,000 for three years.
- This
is an EMBO Installation Grant that is given to young researchers to
install their independent laboratories. The funds of this project will
be used in various projects within the Lab for Bioinformatics and
Computational Genomics that involves development of computational
methods to utilize high throughput sequencing (HTS)
for different applications.
My main research focus is the analysis of biological sequences generated with the next-gen sequencing platforms, and my plans for independent research are twofold: computational algorithm development, and application of methods to sequencing data to analyze genomic variation in both normal and diseased individuals. My long term goal is to accurately and comprehensively predict genomic variation from next generation datasets routinely.