MICOP: Maximal information coefficient-based oscillation prediction to detect biological rhythms in proteomics data-Reference-Cited by-同舟云学术

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MICOP: Maximal information coefficient-based oscillation prediction to detect biological rhythms in proteomics data

Published:2018-06-28 Issue:1 Volume:19 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

Iuchi Hitoshi,Sugimoto Masahiro,Tomita Masaru

Funder

research funds from the Yamagata Prefectural Government and by research funds from Tsuruoka City, Japan

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Link

http://link.springer.com/content/pdf/10.1186/s12859-018-2257-4.pdf

Reference48 articles.

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2. Koike N, Yoo SH, Huang HC, Kumar V, Lee C, Kim TK, Takahashi JS. Transcriptional architecture and chromatin landscape of the core circadian clock in mammals. Science. 2012;338(6105):349–54.

3. Partch CL, Green CB, Takahashi JS. Molecular architecture of the mammalian circadian clock. Trends Cell Biol. 2014;24(2):90–9.

4. Weitzman ED, Fukushima D, Nogeire C, Roffwarg H, Gallagher TF, Hellman L. Twenty-four hour pattern of the episodic secretion of cortisol in normal subjects. J Clin Endocrinol Metab. 1971;33(1):14–22.

5. Kennaway DJ, Voultsios A, Varcoe TJ, Moyer RW. Melatonin in mice: rhythms, response to light, adrenergic stimulation, and metabolism. Am J Physiol Regul Integr Comp Physiol. 2002;282(2):R358–65.

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