Journal of Computer Chemistry, Japan
Online ISSN : 1347-3824
Print ISSN : 1347-1767
ISSN-L : 1347-1767
速報
NGS データ解析環境の導入と新規遺伝子候補の探索
宮澤 由妃深野 義人見越 大樹井上 寿男丸岡 秀一郎黒田 和道権 寧博橋本 修山岸 賢司
著者情報
ジャーナル フリー

2014 年 13 巻 6 号 p. 310-311

詳細
抄録

Next-generation sequencers (NGS) have made it possible to analyze entire genome sequence. NGS can be used for the identification of genes associated with a wide variety of diseases. We investigate RNAs encoded by intergenic regions to identify novel genes that are involved in respiratory diseases. The respiratory tracts of mice were exposed to lipopolysaccharide to establish a model of respiratory disease. RNA expression levels in the mouse exosome were analyzed by NGS to identify genes involved in the development of respiratory diseases. Several disease-related regions exhibited altered expression levels of intergenic RNAs.

著者関連情報
© 2014 日本コンピュータ化学会
前の記事 次の記事
feedback
Top