Literature DB >> 27008011

The Gene Expression Omnibus Database.

Emily Clough1, Tanya Barrett2.   

Abstract

The Gene Expression Omnibus (GEO) database is an international public repository that archives and freely distributes high-throughput gene expression and other functional genomics data sets. Created in 2000 as a worldwide resource for gene expression studies, GEO has evolved with rapidly changing technologies and now accepts high-throughput data for many other data applications, including those that examine genome methylation, chromatin structure, and genome-protein interactions. GEO supports community-derived reporting standards that specify provision of several critical study elements including raw data, processed data, and descriptive metadata. The database not only provides access to data for tens of thousands of studies, but also offers various Web-based tools and strategies that enable users to locate data relevant to their specific interests, as well as to visualize and analyze the data. This chapter includes detailed descriptions of methods to query and download GEO data and use the analysis and visualization tools. The GEO homepage is at http://www.ncbi.nlm.nih.gov/geo/.

Entities:  

Keywords:  Data mining; Database; Functional genomics; Gene expression; High-throughput sequencing; Microarray

Mesh:

Year:  2016        PMID: 27008011      PMCID: PMC4944384          DOI: 10.1007/978-1-4939-3578-9_5

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


  19 in total

1.  Minimum information about a microarray experiment (MIAME)-toward standards for microarray data.

Authors:  A Brazma; P Hingamp; J Quackenbush; G Sherlock; P Spellman; C Stoeckert; J Aach; W Ansorge; C A Ball; H C Causton; T Gaasterland; P Glenisson; F C Holstege; I F Kim; V Markowitz; J C Matese; H Parkinson; A Robinson; U Sarkans; S Schulze-Kremer; J Stewart; R Taylor; J Vilo; M Vingron
Journal:  Nat Genet       Date:  2001-12       Impact factor: 38.330

2.  Microarray standards at last.

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Journal:  Nature       Date:  2002-09-26       Impact factor: 49.962

3.  GEOquery: a bridge between the Gene Expression Omnibus (GEO) and BioConductor.

Authors:  Sean Davis; Paul S Meltzer
Journal:  Bioinformatics       Date:  2007-05-12       Impact factor: 6.937

4.  ExpTreeDB: web-based query and visualization of manually annotated gene expression profiling experiments of human and mouse from GEO.

Authors:  Ming Ni; Fuqiang Ye; Juanjuan Zhu; Zongwei Li; Shuai Yang; Bite Yang; Lu Han; Yongge Wu; Ying Chen; Fei Li; Shengqi Wang; Xiaochen Bo
Journal:  Bioinformatics       Date:  2014-08-24       Impact factor: 6.937

5.  Quantitative monitoring of gene expression patterns with a complementary DNA microarray.

Authors:  M Schena; D Shalon; R W Davis; P O Brown
Journal:  Science       Date:  1995-10-20       Impact factor: 47.728

Review 6.  Life with 6000 genes.

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Journal:  Science       Date:  1996-10-25       Impact factor: 47.728

7.  Downregulation of HNF1 homeobox B is associated with drug resistance in ovarian cancer.

Authors:  Jianchao Li; Yonghong Zhang; Yutao Gao; Yuqian Cui; Hua Liu; Mi Li; Yongjie Tian
Journal:  Oncol Rep       Date:  2014-06-27       Impact factor: 3.906

Review 8.  Genome sequence of the nematode C. elegans: a platform for investigating biology.

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Journal:  Science       Date:  1998-12-11       Impact factor: 47.728

9.  Bioconductor: open software development for computational biology and bioinformatics.

Authors:  Robert C Gentleman; Vincent J Carey; Douglas M Bates; Ben Bolstad; Marcel Dettling; Sandrine Dudoit; Byron Ellis; Laurent Gautier; Yongchao Ge; Jeff Gentry; Kurt Hornik; Torsten Hothorn; Wolfgang Huber; Stefano Iacus; Rafael Irizarry; Friedrich Leisch; Cheng Li; Martin Maechler; Anthony J Rossini; Gunther Sawitzki; Colin Smith; Gordon Smyth; Luke Tierney; Jean Y H Yang; Jianhua Zhang
Journal:  Genome Biol       Date:  2004-09-15       Impact factor: 13.583

10.  Co-expression network analysis and genetic algorithms for gene prioritization in preeclampsia.

Authors:  Eduardo Tejera; João Bernardes; Irene Rebelo
Journal:  BMC Med Genomics       Date:  2013-11-12       Impact factor: 3.063

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  485 in total

1.  Predicting perturbation patterns from the topology of biological networks.

Authors:  Marc Santolini; Albert-László Barabási
Journal:  Proc Natl Acad Sci U S A       Date:  2018-06-20       Impact factor: 11.205

Review 2.  [Relevance of big data for molecular diagnostics].

Authors:  M Bonin-Andresen; B Smiljanovic; B Stuhlmüller; T Sörensen; A Grützkau; T Häupl
Journal:  Z Rheumatol       Date:  2018-04       Impact factor: 1.372

3.  Gene expression profiling and bioinformatics analysis of hereditary gingival fibromatosis.

Authors:  Lei Fang; Yu Wang; Xuejun Chen
Journal:  Biomed Rep       Date:  2017-12-15

4.  HTLV-1 viral oncogene HBZ drives bone destruction in adult T cell leukemia.

Authors:  Jingyu Xiang; Daniel A Rauch; Devra D Huey; Amanda R Panfil; Xiaogang Cheng; Alison K Esser; Xinming Su; John C Harding; Yalin Xu; Gregory C Fox; Francesca Fontana; Takayuki Kobayashi; Junyi Su; Hemalatha Sundaramoorthi; Wing Hing Wong; Yizhen Jia; Thomas J Rosol; Deborah J Veis; Patrick L Green; Stefan Niewiesk; Lee Ratner; Katherine N Weilbaecher
Journal:  JCI Insight       Date:  2019-10-03

5.  An Online Database for Exploring Over 2,000 Arabidopsis Small RNA Libraries.

Authors:  Li Feng; Fei Zhang; Hong Zhang; Yan Zhao; Blake C Meyers; Jixian Zhai
Journal:  Plant Physiol       Date:  2019-12-16       Impact factor: 8.340

Review 6.  Molecular networks in Network Medicine: Development and applications.

Authors:  Edwin K Silverman; Harald H H W Schmidt; Eleni Anastasiadou; Lucia Altucci; Marco Angelini; Lina Badimon; Jean-Luc Balligand; Giuditta Benincasa; Giovambattista Capasso; Federica Conte; Antonella Di Costanzo; Lorenzo Farina; Giulia Fiscon; Laurent Gatto; Michele Gentili; Joseph Loscalzo; Cinzia Marchese; Claudio Napoli; Paola Paci; Manuela Petti; John Quackenbush; Paolo Tieri; Davide Viggiano; Gemma Vilahur; Kimberly Glass; Jan Baumbach
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2020-04-19

7.  Identification and Interaction Analysis of Key Genes and MicroRNAs in Systemic Sclerosis by Bioinformatics Approaches.

Authors:  Yan-Hong Sun; Meng Xie; Shi-di Wu; Jing Zhang; Chang-Zheng Huang
Journal:  Curr Med Sci       Date:  2019-07-25

8.  Prediction of ATPase cation transporting 13A2 molecule in Petromyzon marinus and pan-cancer analysis into human tumors from an evolutionary perspective.

Authors:  Kaifeng Zheng; Tiesong Li
Journal:  Immunogenetics       Date:  2021-03-20       Impact factor: 2.846

9.  Interpretation of an individual functional genomics experiment guided by massive public data.

Authors:  Young-Suk Lee; Aaron K Wong; Alicja Tadych; Boris M Hartmann; Christopher Y Park; Veronica A DeJesus; Irene Ramos; Elena Zaslavsky; Stuart C Sealfon; Olga G Troyanskaya
Journal:  Nat Methods       Date:  2018-11-26       Impact factor: 28.547

10.  Fold-Change-Specific Enrichment Analysis (FSEA): Quantification of Transcriptional Response Magnitude for Functional Gene Groups.

Authors:  Daniil S Wiebe; Nadezhda A Omelyanchuk; Aleksei M Mukhin; Ivo Grosse; Sergey A Lashin; Elena V Zemlyanskaya; Victoria V Mironova
Journal:  Genes (Basel)       Date:  2020-04-17       Impact factor: 4.096

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