Literature DB >> 25152233

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

Ming Ni1, Fuqiang Ye1, Juanjuan Zhu2, Zongwei Li1, Shuai Yang1, Bite Yang1, Lu Han1, Yongge Wu1, Ying Chen1, Fei Li1, Shengqi Wang2, Xiaochen Bo1.   

Abstract

MOTIVATION: Numerous public microarray datasets are valuable resources for the scientific communities. Several online tools have made great steps to use these data by querying related datasets with users' own gene signatures or expression profiles. However, dataset annotation and result exhibition still need to be improved.
RESULTS: ExpTreeDB is a database that allows for queries on human and mouse microarray experiments from Gene Expression Omnibus with gene signatures or profiles. Compared with similar applications, ExpTreeDB pays more attention to dataset annotations and result visualization. We introduced a multiple-level annotation system to depict and organize original experiments. For example, a tamoxifen-treated cell line experiment is hierarchically annotated as 'agent→drug→estrogen receptor antagonist→tamoxifen'. Consequently, retrieved results are exhibited by an interactive tree-structured graphics, which provide an overview for related experiments and might enlighten users on key items of interest.
AVAILABILITY AND IMPLEMENTATION: The database is freely available at http://biotech.bmi.ac.cn/ExpTreeDB. Web site is implemented in Perl, PHP, R, MySQL and Apache.
© The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

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Year:  2014        PMID: 25152233     DOI: 10.1093/bioinformatics/btu560

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  5 in total

1.  The Gene Expression Omnibus Database.

Authors:  Emily Clough; Tanya Barrett
Journal:  Methods Mol Biol       Date:  2016

2.  Computational Prediction and Validation of BAHD1 as a Novel Molecule for Ulcerative Colitis.

Authors:  Huatuo Zhu; Xingyong Wan; Jing Li; Lu Han; Xiaochen Bo; Wenguo Chen; Chao Lu; Zhe Shen; Chenfu Xu; Lihua Chen; Chaohui Yu; Guoqiang Xu
Journal:  Sci Rep       Date:  2015-07-17       Impact factor: 4.379

3.  Modeling drug mechanism of action with large scale gene-expression profiles using GPAR, an artificial intelligence platform.

Authors:  Shengqiao Gao; Lu Han; Dan Luo; Gang Liu; Zhiyong Xiao; Guangcun Shan; Yongxiang Zhang; Wenxia Zhou
Journal:  BMC Bioinformatics       Date:  2021-01-07       Impact factor: 3.169

4.  PhenoMeter: A Metabolome Database Search Tool Using Statistical Similarity Matching of Metabolic Phenotypes for High-Confidence Detection of Functional Links.

Authors:  Adam J Carroll; Peng Zhang; Lynne Whitehead; Sarah Kaines; Guillaume Tcherkez; Murray R Badger
Journal:  Front Bioeng Biotechnol       Date:  2015-07-29

5.  Gene set enrichment analysis: A genome-wide expression profile-based strategy for discovering functional microRNA-disease relationships.

Authors:  Yin Ni; Caiyun Song; Shuqing Jin; Zhoufeng Chen; Ming Ni; Lu Han; Jiansheng Wu; Yin Jin
Journal:  J Int Med Res       Date:  2017-04-24       Impact factor: 1.671

  5 in total

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