A population genetics analysis of RNA secondary structures

2016 Fiscal Year Final Research Report

• Project/Area Number: 25870190
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Life / Health / Medical informatics; System genome science
• Research Institution: The University of Tokyo
• Principal Investigator: Kiryu Hisanori 東京大学, 大学院新領域創成科学研究科, 准教授 (80415778)
• Research Collaborator: ASAI Kiyoshi ; HAMADA Michiaki ; SATO Kengo ; KATO Yuki ; IWASAKI Wataru ; ONO Yukiteru ; TERAI Goro ; OZAKI Haruka ; MATSUMOTO Hirotaka ; FUKUNAGA Tsukasa ; MORI Ryota ; KASHIHARA Yuki ; KAWAGUCHI Risa
• Project Period (FY): 2013-04-01 – 2017-03-31
• Keywords: バイオインフォマティクス / RNA / RNA二次構造 / アルゴリズム / RNA結合タンパク質 / 文脈自由文法 / RNA進化

Outline of Final Research Achievements

RNA molecules in a cell play very important roles so that genetic information encoded in the genome is instantiated as proteins and exerts actual functions. Three dimensional structure of an RNA is understood by its arrangement of stem structures, and it is important to investigate the properties of this secondary structure to understand the functions of RNAs. In this study, we have succeeded in developing an algorithm (ParasoR) for computing several properties of RNA secondary structures of very long RNAs such as messenger RNAs and long non-coding RNAs for the first time. We have also succeeded in developing an algorithm (CapR) for computing secondary structural context around the binding regions of RNA binding proteins.

Free Research Field

バイオインフォマティクス