TSGOE: A web tool for tissue-specific gene ontology enrichment

Jiajie Peng; Guilin Lu; Hansheng Xue; Tao Wang; Xuequn Shang

doi:10.1109/BIBM.2018.8621204

TSGOE: A web tool for tissue-specific gene ontology enrichment

Jiajie Peng
, Guilin Lu
, Hansheng Xue
, Tao Wang
, Xuequn Shang

计算机学院

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

Gene Ontology (GO) is one of the most popular Bioinformatics resources for studying the functional relationships between genes. GO enrichment analysis has become a routine method for gene function analysis, and it is of great significance for revealing the molecular mechanism of biology. However, existing GO enrichment analysis tools do not take into account tissue specificity and cannot distinguish gene sets that users interested. In this paper, we propose an easy-to-use web application, termed as TSGOE, which allows users to perform tissue specific-based GO enrichment analysis conveniently. Besides, TSGOE also provides rigorous statistical testing to improve the reliability of analytical result. To evaluate its performance, we apply TSGOE on several cancer-related gene lists. The experimental results show that our tool perform better than traditional GO enrichment analysis method. TSGOE is available at http://120.77.47.2:5678.

源语言	英语
主期刊名	Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018
编辑	Harald Schmidt, David Griol, Haiying Wang, Jan Baumbach, Huiru Zheng, Zoraida Callejas, Xiaohua Hu, Julie Dickerson, Le Zhang
出版商	Institute of Electrical and Electronics Engineers Inc.
页	1266-1269
页数	4
ISBN（电子版）	9781538654880
DOI	https://doi.org/10.1109/BIBM.2018.8621204
出版状态	已出版 - 21 1月 2019
活动	2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 - Madrid, 西班牙期限: 3 12月 2018 → 6 12月 2018

出版系列

姓名	Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018

会议

会议	2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018
国家/地区	西班牙
市	Madrid
时期	3/12/18 → 6/12/18

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 3 良好健康与福祉

访问文件

10.1109/BIBM.2018.8621204

其它文件与链接

链接到 Scopus 的出版物

引用此

Peng, J., Lu, G., Xue, H., Wang, T., & Shang, X. (2019). TSGOE: A web tool for tissue-specific gene ontology enrichment. 在 H. Schmidt, D. Griol, H. Wang, J. Baumbach, H. Zheng, Z. Callejas, X. Hu, J. Dickerson, & L. Zhang (编辑), Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 (页码 1266-1269). 文章 8621204 (Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BIBM.2018.8621204

Peng, Jiajie ; Lu, Guilin ; Xue, Hansheng 等. / TSGOE : A web tool for tissue-specific gene ontology enrichment. Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018. 编辑 / Harald Schmidt ; David Griol ; Haiying Wang ; Jan Baumbach ; Huiru Zheng ; Zoraida Callejas ; Xiaohua Hu ; Julie Dickerson ; Le Zhang. Institute of Electrical and Electronics Engineers Inc., 2019. 页码 1266-1269 (Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018).

@inproceedings{08ee9ba09e5e4ba4812c7e385bf1f90a,

title = "TSGOE: A web tool for tissue-specific gene ontology enrichment",

abstract = "Gene Ontology (GO) is one of the most popular Bioinformatics resources for studying the functional relationships between genes. GO enrichment analysis has become a routine method for gene function analysis, and it is of great significance for revealing the molecular mechanism of biology. However, existing GO enrichment analysis tools do not take into account tissue specificity and cannot distinguish gene sets that users interested. In this paper, we propose an easy-to-use web application, termed as TSGOE, which allows users to perform tissue specific-based GO enrichment analysis conveniently. Besides, TSGOE also provides rigorous statistical testing to improve the reliability of analytical result. To evaluate its performance, we apply TSGOE on several cancer-related gene lists. The experimental results show that our tool perform better than traditional GO enrichment analysis method. TSGOE is available at http://120.77.47.2:5678.",

keywords = "Gene Ontology, enrichment analysis, tissue-specific, web tool",

author = "Jiajie Peng and Guilin Lu and Hansheng Xue and Tao Wang and Xuequn Shang",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 ; Conference date: 03-12-2018 Through 06-12-2018",

year = "2019",

month = jan,

day = "21",

doi = "10.1109/BIBM.2018.8621204",

language = "英语",

series = "Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1266--1269",

editor = "Harald Schmidt and David Griol and Haiying Wang and Jan Baumbach and Huiru Zheng and Zoraida Callejas and Xiaohua Hu and Julie Dickerson and Le Zhang",

booktitle = "Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018",

}

Peng, J, Lu, G, Xue, H, Wang, T & Shang, X 2019, TSGOE: A web tool for tissue-specific gene ontology enrichment. 在 H Schmidt, D Griol, H Wang, J Baumbach, H Zheng, Z Callejas, X Hu, J Dickerson & L Zhang (编辑), Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018., 8621204, Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018, Institute of Electrical and Electronics Engineers Inc., 页码 1266-1269, 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018, Madrid, 西班牙, 3/12/18. https://doi.org/10.1109/BIBM.2018.8621204

TSGOE: A web tool for tissue-specific gene ontology enrichment. / Peng, Jiajie; Lu, Guilin; Xue, Hansheng 等.
Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018. 编辑 / Harald Schmidt; David Griol; Haiying Wang; Jan Baumbach; Huiru Zheng; Zoraida Callejas; Xiaohua Hu; Julie Dickerson; Le Zhang. Institute of Electrical and Electronics Engineers Inc., 2019. 页码 1266-1269 8621204 (Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - TSGOE

T2 - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018

AU - Peng, Jiajie

AU - Lu, Guilin

AU - Xue, Hansheng

AU - Wang, Tao

AU - Shang, Xuequn

PY - 2019/1/21

Y1 - 2019/1/21

N2 - Gene Ontology (GO) is one of the most popular Bioinformatics resources for studying the functional relationships between genes. GO enrichment analysis has become a routine method for gene function analysis, and it is of great significance for revealing the molecular mechanism of biology. However, existing GO enrichment analysis tools do not take into account tissue specificity and cannot distinguish gene sets that users interested. In this paper, we propose an easy-to-use web application, termed as TSGOE, which allows users to perform tissue specific-based GO enrichment analysis conveniently. Besides, TSGOE also provides rigorous statistical testing to improve the reliability of analytical result. To evaluate its performance, we apply TSGOE on several cancer-related gene lists. The experimental results show that our tool perform better than traditional GO enrichment analysis method. TSGOE is available at http://120.77.47.2:5678.

AB - Gene Ontology (GO) is one of the most popular Bioinformatics resources for studying the functional relationships between genes. GO enrichment analysis has become a routine method for gene function analysis, and it is of great significance for revealing the molecular mechanism of biology. However, existing GO enrichment analysis tools do not take into account tissue specificity and cannot distinguish gene sets that users interested. In this paper, we propose an easy-to-use web application, termed as TSGOE, which allows users to perform tissue specific-based GO enrichment analysis conveniently. Besides, TSGOE also provides rigorous statistical testing to improve the reliability of analytical result. To evaluate its performance, we apply TSGOE on several cancer-related gene lists. The experimental results show that our tool perform better than traditional GO enrichment analysis method. TSGOE is available at http://120.77.47.2:5678.

KW - Gene Ontology

KW - enrichment analysis

KW - tissue-specific

KW - web tool

UR - https://www.scopus.com/pages/publications/85062512631

U2 - 10.1109/BIBM.2018.8621204

DO - 10.1109/BIBM.2018.8621204

M3 - 会议稿件

AN - SCOPUS:85062512631

T3 - Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018

SP - 1266

EP - 1269

BT - Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018

A2 - Schmidt, Harald

A2 - Griol, David

A2 - Wang, Haiying

A2 - Baumbach, Jan

A2 - Zheng, Huiru

A2 - Callejas, Zoraida

A2 - Hu, Xiaohua

A2 - Dickerson, Julie

A2 - Zhang, Le

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 3 December 2018 through 6 December 2018

ER -

Peng J, Lu G, Xue H, Wang T, Shang X. TSGOE: A web tool for tissue-specific gene ontology enrichment. 在 Schmidt H, Griol D, Wang H, Baumbach J, Zheng H, Callejas Z, Hu X, Dickerson J, Zhang L, 编辑, Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018. Institute of Electrical and Electronics Engineers Inc. 2019. 页码 1266-1269. 8621204. (Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018). doi: 10.1109/BIBM.2018.8621204

TSGOE: A web tool for tissue-specific gene ontology enrichment

摘要

出版系列

会议

联合国可持续发展目标

访问文件

其它文件与链接

指纹

引用此