Abstract
The rapid advancement of next-generation sequencing technology (next-generation sequencer; NGS) provides an opportunity to extend the scale and resolution of current genome research. On the other hand, it raises new challenges such as handling huge amounts of data and the errors specific to this type of data. In this report, I introduce applications of NGS to current genome research. I also discuss some specific examples of recently developed statistical methods for identifying genotype and genetic variation using human resequencing data and provide a guide to the detection of disease-causing genes.
