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 |
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| Section | 一般 |
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| Research Field |
Bioinformatics/Life informatics
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| Research Institution | The University of Tokyo |
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Principal Investigator |
KADOTA Koji 東京大学, 農学生命科学研究科, 特任准教授 (60392221)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
Fiscal Year 2014: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2013: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2012: ¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
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| 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 |
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| 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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Report
(4 results)
Research Products
(28 results)
