Literature DB >> 17417014

Microarrays: statistical methods for circadian rhythms.

Rikuhiro Yamada1, Hiroki R Ueda.   

Abstract

Microarrays are promising tools that are increasingly being applied to the study of circadian rhythms. The large and complex datasets they generate, however, mean they require a new approach on how to design experiments, handle datasets, translate results, and derive conclusions. This technology also requires statistical methods for the correct interpretation of data generated by the microarrays. In this chapter, we provide an overview of analytical methods applied to microarray experiments for the identification of genes with circadian expression.

Mesh:

Year:  2007        PMID: 17417014     DOI: 10.1007/978-1-59745-257-1_17

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  6 in total

1.  Genome-wide profiling of the core clock protein BMAL1 targets reveals a strict relationship with metabolism.

Authors:  Fumiyuki Hatanaka; Chiaki Matsubara; Jihwan Myung; Takashi Yoritaka; Naoko Kamimura; Shuichi Tsutsumi; Akinori Kanai; Yutaka Suzuki; Paolo Sassone-Corsi; Hiroyuki Aburatani; Sumio Sugano; Toru Takumi
Journal:  Mol Cell Biol       Date:  2010-10-11       Impact factor: 4.272

2.  Analyzing circadian expression data by harmonic regression based on autoregressive spectral estimation.

Authors:  Rendong Yang; Zhen Su
Journal:  Bioinformatics       Date:  2010-06-15       Impact factor: 6.937

3.  Involvement of urinary bladder Connexin43 and the circadian clock in coordination of diurnal micturition rhythm.

Authors:  Hiromitsu Negoro; Akihiro Kanematsu; Masao Doi; Sylvia O Suadicani; Masahiro Matsuo; Masaaki Imamura; Takeshi Okinami; Nobuyuki Nishikawa; Tomonori Oura; Shigeyuki Matsui; Kazuyuki Seo; Motomi Tainaka; Shoichi Urabe; Emi Kiyokage; Takeshi Todo; Hitoshi Okamura; Yasuhiko Tabata; Osamu Ogawa
Journal:  Nat Commun       Date:  2012-05-01       Impact factor: 14.919

4.  Transcriptome phase distribution analysis reveals diurnal regulated biological processes and key pathways in rice flag leaves and seedling leaves.

Authors:  Wenying Xu; Rendong Yang; Meina Li; Zhuo Xing; Wenqiang Yang; Guang Chen; Han Guo; Xiaojie Gong; Zhou Du; Zhenhai Zhang; Xingming Hu; Dong Wang; Qian Qian; Tai Wang; Zhen Su; Yongbiao Xue
Journal:  PLoS One       Date:  2011-03-02       Impact factor: 3.240

5.  Quantifying periodicity in omics data.

Authors:  Cornelia Amariei; Masaru Tomita; Douglas B Murray
Journal:  Front Cell Dev Biol       Date:  2014-08-19

6.  Time resolved DNA occupancy dynamics during the respiratory oscillation uncover a global reset point in the yeast growth program.

Authors:  Cornelia Amariei; Rainer Machné; Viktor Stolc; Tomoyoshi Soga; Masaru Tomita; Douglas B Murray
Journal:  Microb Cell       Date:  2014-09-01
  6 in total

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