The GNUMAP Project: Probabilistic Mapping of Next-Generation Sequencing Reads with Applications

• Activity Number: 623
• Type: Contributed
• Date/Time: Thursday, August 5, 2010 : 8:30 AM to 10:20 AM
• Sponsor: Biometrics Section
• Author(s): W. Evan Johnson*+ and Nathan Clement and Mark Clement and Quinn Snell
• Companies: Brigham Young University and Brigham Young University and Brigham Young University and Brigham Young University
• Keywords: Next generation sequencing ; read mapping ; SNP calling ; RNA editing ; bisulfite sequencing

Abstract

Next generation sequencing technologies are poised to revolutionize the field of biomedical research. The increased resolution of these data promise to provide increased understanding of the molecular processes that control the morphology and behavior of a cell. However, the increased amount of data require innovative statistical procedures that have high power while still being computationally feasible. In this research, we present an unbiased probabilistic approach to mapping sequencing reads to a reference genome. We show that our approach typically maps more reads and is more accurate than other existing approaches. In addition, we present recent developments to our algorithm to accommodate SNP calling, RNA editing, and bisulfite conversion.