2012 Fiscal Year Final Research Report
RNA-Seq data analysis for ncRNA function prediction to thousands public RNA-Seq data on super computer
Project/Area Number |
23650150
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Research Category |
Grant-in-Aid for Challenging Exploratory Research
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Allocation Type | Multi-year Fund |
Research Field |
Bioinformatics/Life informatics
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Research Institution | Tohoku University (2012) The University of Tokyo (2011) |
Principal Investigator |
NAGASAKI Masao 東北大学, 東北メディカル・メガバンク機構, 教授 (90396862)
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Project Period (FY) |
2011 – 2012
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Keywords | 次世代シーケンサ |
Research Abstract |
High performance sequencer (Hit-Seq) generates massive amounts of short reads. Hit-Seq is used for the analysis of transcriptome expressions. Especially, it is important to detect fusion transcripts and isoforms expression from overlapped region in a chromosome. This research developed a new method to detect isoform expressions from RNA-Seq data. By applying this method on supercomputer environment, more accurate expressions to unkown lincRNAs and mRNAs from thousands RNA-Seq data can be inferred.
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[Journal Article] Transposon mutagenesis identifies genes that transform neural stem cells into glioma-initiating cells2012
Author(s)
Koso H, Takeda H, Yew CC, Ward JM, Nariai N, Ueno K, Nagasaki M, Watanabe S, Rust AG, Adams DJ, Copeland NG, Jenkins NA
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Journal Title
Proc Natl Acad Sci USA
Volume: 109(44)
Pages: E2998-3007
DOI
Peer Reviewed
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