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oPOSSUM-3:针对基因或 ChIP-Seq 数据集的调控基序过表达的高级分析。

oPOSSUM-3: advanced analysis of regulatory motif over-representation across genes or ChIP-Seq datasets.

机构信息

Centre for Molecular Medicine and Therapeutics, Child and Family Research Institute, University of British Columbia, Vancouver, British Columbia, V5Z 4H4, Canada.

出版信息

G3 (Bethesda). 2012 Sep;2(9):987-1002. doi: 10.1534/g3.112.003202. Epub 2012 Sep 1.

DOI:10.1534/g3.112.003202
PMID:22973536
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3429929/
Abstract

oPOSSUM-3 is a web-accessible software system for identification of over-represented transcription factor binding sites (TFBS) and TFBS families in either DNA sequences of co-expressed genes or sequences generated from high-throughput methods, such as ChIP-Seq. Validation of the system with known sets of co-regulated genes and published ChIP-Seq data demonstrates the capacity for oPOSSUM-3 to identify mediating transcription factors (TF) for co-regulated genes or co-recovered sequences. oPOSSUM-3 is available at http://opossum.cisreg.ca.

摘要

oPOSSUM-3 是一个网络可访问的软件系统,用于识别共表达基因的 DNA 序列或高通量方法(如 ChIP-Seq)生成的序列中过度表达的转录因子结合位点 (TFBS) 和 TFBS 家族。该系统与已知的共调控基因集和已发表的 ChIP-Seq 数据的验证表明,oPOSSUM-3 有能力识别共调控基因或共同回收序列的中介转录因子 (TF)。oPOSSUM-3 可在 http://opossum.cisreg.ca 获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd88/3429929/69d9d1ed86a8/987f7.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd88/3429929/3749d1f38b35/987f2.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd88/3429929/69d9d1ed86a8/987f7.jpg

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1
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2
MotEvo: integrated Bayesian probabilistic methods for inferring regulatory sites and motifs on multiple alignments of DNA sequences.MotEvo:一种用于在 DNA 序列多重比对上推断调控位点和基序的集成贝叶斯概率方法。
Bioinformatics. 2012 Feb 15;28(4):487-94. doi: 10.1093/bioinformatics/btr695.
3
PHAST and RPHAST: phylogenetic analysis with space/time models.PHAST 和 RPHAST:时空模型的系统发育分析。
星形胶质细胞中糖原合成时的 CREB 调节转录。
Sci Rep. 2024 Aug 2;14(1):17942. doi: 10.1038/s41598-024-67976-w.
4
The glucocorticoid receptor as a master regulator of the Müller cell response to diabetic conditions in mice.糖皮质激素受体作为小鼠 Müller 细胞对糖尿病状态反应的主要调节因子。
J Neuroinflammation. 2024 Jan 25;21(1):33. doi: 10.1186/s12974-024-03021-x.
5
MORA and EnsembleTFpredictor: An ensemble approach to reveal functional transcription factor regulatory networks.MORA 和 EnsembleTFpredictor:揭示功能转录因子调控网络的集成方法。
PLoS One. 2023 Nov 30;18(11):e0294724. doi: 10.1371/journal.pone.0294724. eCollection 2023.
6
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Nat Aging. 2023 Nov;3(11):1358-1371. doi: 10.1038/s43587-023-00517-8. Epub 2023 Nov 9.
7
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Autophagy. 2024 Apr;20(4):752-768. doi: 10.1080/15548627.2023.2267415. Epub 2023 Oct 12.
8
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Nat Aging. 2023 Oct;3(10):1251-1268. doi: 10.1038/s43587-023-00488-w. Epub 2023 Sep 18.
9
Topologically associating domain underlies tissue specific expression of long intergenic non-coding RNAs.拓扑相关结构域是长基因间非编码RNA组织特异性表达的基础。
iScience. 2023 Apr 26;26(5):106640. doi: 10.1016/j.isci.2023.106640. eCollection 2023 May 19.
10
A survey on algorithms to characterize transcription factor binding sites.一种用于刻画转录因子结合位点的算法研究综述。
Brief Bioinform. 2023 May 19;24(3). doi: 10.1093/bib/bbad156.
Brief Bioinform. 2011 Jan;12(1):41-51. doi: 10.1093/bib/bbq072. Epub 2010 Dec 21.
4
Ensembl 2011.Ensembl 2011年版
Nucleic Acids Res. 2011 Jan;39(Database issue):D800-6. doi: 10.1093/nar/gkq1064. Epub 2010 Nov 2.
5
Identification of cis-regulatory elements in the mammalian genome: the cREMaG database.哺乳动物基因组中顺式调控元件的鉴定:cREMaG 数据库。
PLoS One. 2010 Aug 31;5(8):e12465. doi: 10.1371/journal.pone.0012465.
6
Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences.Galaxy:一种支持生命科学领域可访问、可重现和透明计算研究的综合方法。
Genome Biol. 2010;11(8):R86. doi: 10.1186/gb-2010-11-8-r86. Epub 2010 Aug 25.
7
A computational evaluation of over-representation of regulatory motifs in the promoter regions of differentially expressed genes.差异表达基因启动子区域调控基序过表达的计算评估。
BMC Bioinformatics. 2010 May 20;11:267. doi: 10.1186/1471-2105-11-267.
8
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Nucleic Acids Res. 2010 Sep;38(17):5718-34. doi: 10.1093/nar/gkq212. Epub 2010 May 11.
9
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J Biol Chem. 2010 Jul 2;285(27):21175-84. doi: 10.1074/jbc.M110.112482. Epub 2010 May 3.
10
Five-vertebrate ChIP-seq reveals the evolutionary dynamics of transcription factor binding.五脊椎动物 ChIP-seq 揭示转录因子结合的进化动态。
Science. 2010 May 21;328(5981):1036-40. doi: 10.1126/science.1186176. Epub 2010 Apr 8.