August 13-15, 2012
Sequencing a genome is only the beginning. Several layers of analysis are necessary to convert raw sequence data into understanding of functional biology. First, error sources in the original raw data from multiple platforms and diverse applications must be accounted for. Then, as computational methods for assembly, alignment, and variation detection continue to advance, a broad range of genetic analysis applications including comparative genomics, high-throughput polymorphism detection, analysis of coding and non-coding RNAs, and identifying mutant genes in disease pathways can be addressed. CHI's Next-Generation Sequencing Data Analysis conference combines unique perspectives from a variety of researchers, engineers, biostatisticians, and software developers involved in NGS data analysis.