Extraction of Genes by Comparing Next Generation Sequencing Data From Two Conditions

Abstract

An effective method is required to extract meaningful information from next-generation sequencer (NGS) because such extraction takes a considerable time. First, the proposed method detects mutations, which are mapped onto gene regions. These steps are repeated for another dataset. Then, the method extracts gene regions in which the number of mapped mutations is markedly different in the two datasets. The method was applied to datasets from multiple myeloma cell line cultured under normal and hypoxic conditions. Most of the extracted genes are tumor suppressors. This implies that mutations of tumor suppressors play a role in hypoxia tolerance, suggesting the usefulness of the proposed method.