The Development of a cloud computing-based annotation system for next-generation sequencing data

2014 Fiscal Year Final Research Report

• Project/Area Number: 24510273
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Genome biology
• Research Institution: National Institute of Genetics
• Principal Investigator: NAGASAKI Hideki 国立遺伝学研究所, 生命情報研究センター, 特任研究員 (70624451)
• Co-Investigator(Renkei-kenkyūsha): KAMINUMA Eli 国立遺伝学研究所, 生命情報研究センター, 助教 (90314559)
• Project Period (FY): 2012-04-01 – 2015-03-31
• Keywords: ゲノム / 次世代シーケンサー / 解析パイプライン / クラウド / RNA-Seq / ChIP-Seq

Outline of Final Research Achievements

High-performance next-generation sequencing (NGS) technologies are advancing genomics and molecular biological research. However, the immense amount of sequence data requires computational skills and suitable hardware resources that are a challenge to molecular biologists. The DNA Data Bank of Japan (DDBJ) of the National Institute of Genetics (NIG) has initiated a cloud computing-based analytical pipeline, the DDBJ Read Annotation Pipeline (DDBJ Pipeline), for a high-throughput annotation of NGS reads. The DDBJ Pipeline offers a user-friendly graphical web interface and processes massive NGS datasets using decentralized processing by NIG supercomputers currently free of charge.

Free Research Field

ゲノム情報解析