Project

Statistical Methods for Improved Base-calling and Integration of Massive Parallel Sequencing Data

Code
178BL2510
Duration
01 January 2011 → 31 December 2014
Funding
Regional and community funding: IWT/VLAIO
Research disciplines
  • Natural sciences
    • Applied mathematics in specific fields
    • Statistics and numerical methods
    • Scientific computing
    • Bioinformatics and computational biology
    • Microbiology
    • Systems biology
  • Medical and health sciences
    • Bioinformatics and computational biology
    • Laboratory medicine
    • Microbiology
    • Bioinformatics and computational biology
    • Laboratory medicine
    • Public health care
    • Public health services
    • Bioinformatics and computational biology
    • Laboratory medicine
    • Microbiology
  • Engineering and technology
    • Scientific computing
Keywords
genomics virology statistics
 
Project description

In virology research, massively parallel sequencing (MPS) has great opportunity to study viral quasispecies in HIV-1 and HCV-infected patients, which is essential for the understanding of the pathways to resistance and can substantially improve treatment. In this project statistical methods are developed for the identification and quantification of viral variants using the Illumnia MPS technology.