2014 Fiscal Year Final Research Report
Guidelines for differential expression analysis from RNA-seq data
Project/Area Number |
24500359
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Bioinformatics/Life informatics
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Research Institution | The University of Tokyo |
Principal Investigator |
KADOTA Koji 東京大学, 農学生命科学研究科, 特任准教授 (60392221)
|
Project Period (FY) |
2012-04-01 – 2015-03-31
|
Keywords | バイオインフォマティクス / トランスクリプトーム / RNA-seq / 正規化 / 発現変動 |
Outline of Final Research Achievements |
RNA-seq is a powerful tool for obtaining ribonucleic acids (RNA) sequence data expressed in a target sample. The purpose of this work is to provide guidelines for differential expression analysis from RNA-seq count data. The results were systematically summarized as a book and websites (http://www.iu.a.u-tokyo.ac.jp/~kadota/r_seq.html and http://www.iu.a.u-tokyo.ac.jp/~kadota/r.html).
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Free Research Field |
バイオインフォマティクス
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