Q&A: ChIP-seq technologies and the study of gene regulation - BMC Biology
Question and Answer Open access Published: 14 May 2010 Q&A: ChIP-seq technologies and the study of gene regulation Edison T Liu1, Sebastian Pott1 & Mikael Huss1 BMC Biology volume 8, Article number: 56 (2010) Cite this article ChIP-seq is short for chromatin immunoprecipitation-sequencing. Fundamentally, ChIP-seq is the sequencing of the genomic DNA fragments that co-precipitate with a DNA-binding
Computation for ChIP-seq and RNA-seq studies
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Alternative transcription exceeds alternative splicing in generating the transcriptome diversity of cerebellar development
Alternative transcription exceeds alternative splicing in generating the transcriptome diversity of cerebellar development Sharmistha Pal1,2,4, Ravi Gupta1,2,4, Hyunsoo Kim1, Priyankara Wickramasinghe1, Valérie Baubet2, Louise C. Showe1,2,3, Nadia Dahmane2 and Ramana V. Davuluri1,2,5 1Center for Systems and Computational Biology, The Wistar Institute, Philadelphia, Pennsylvania 19019, USA; 2Molecu
Microarrays, deep sequencing and the true measure of the transcriptome - BMC Biology
Review Open access Published: 31 May 2011 Microarrays, deep sequencing and the true measure of the transcriptome John H Malone1 & Brian Oliver1 BMC Biology volume 9, Article number: 34 (2011) Cite this article Microarrays first made the analysis of the transcriptome possible, and have produced much important information. Today, however, researchers are increasingly turning to direct high-throughpu
RNA-seq: technical variability and sampling - BMC Genomics
Research article Open access Published: 06 June 2011 RNA-seq: technical variability and sampling Lauren M McIntyre1, Kenneth K Lopiano2, Alison M Morse1, Victor Amin1, Ann L Oberg3, Linda J Young2 & …Sergey V Nuzhdin4 Show authors BMC Genomics volume 12, Article number: 293 (2011) Cite this article BackgroundRNA-seq is revolutionizing the way we study transcriptomes. mRNA can be surveyed without p
Computational methods for transcriptome annotation and quantification using RNA-seq - Nature Methods
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事業仕分けWS3 科学分野 まとめウィキ
WS3の俎上に載った組織 ※あっているかどうかわかりません、修正お願いします † 次世代スーパーコンピュータ スーパーコンピュータ建設中でした。さまざまなシュミレーションを行うことが期待されます。 関連 SPring-8 蛋白質の形を調べたり、様々な物質の構造を調べるのに使われる施設です。 理研 植物科学研究センタ 奈良先端科学技術大学院大学-植物科学推進事業 理研 バイオリソースセンタ 海洋研究開発機構 地球環境変動や、地球内部の構造を調べている組織です。 日本学術振興会 科学研究などに対し、お金を出しているところ。大学院生や研究者への支援も行っている。 日本科学未来館 …続き、願います ↑ 民主党政策 † 民主党科学技術政策 民主党政策集INDEX2009 文部科学 経済産業 農林水産 厚生 （医療政策＜詳細版＞） 平成21年度『国の事業仕分け』（平成21年度予算予備的調査） （注：2
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Reverse ChIP - Nature Methods
Differential expression in RNA-seq: A matter of depth
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日本の真の色が光るように 外国メディアも混乱しまくった大惨事のその先で － ニュースな英語 - goo辞書
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Gene regulatory networks and the role of robustness and stochasticity in the control of gene expression
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