MonaGO: a novel gene ontology enrichment analysis visualisation system

被引:18
|
作者
Xin, Ziyin [1 ]
Cai, Yujun [1 ,3 ]
Dang, Louis T. [2 ,4 ]
Burke, Hannah M. S. [2 ,4 ]
Revote, Jerico [5 ]
Charitakis, Natalie [6 ]
Bienroth, Denis [6 ]
Nim, Hieu T. [1 ,2 ,4 ,6 ]
Li, Yuan-Fang [1 ,4 ]
Ramialison, Mirana [2 ,4 ,6 ]
机构
[1] Monash Univ, Fac IT, Clayton, Vic, Australia
[2] Monash Univ, Australian Regenerat Med Inst, Clayton, Vic, Australia
[3] Southeast Univ, Nanjing, Peoples R China
[4] Syst Biol Inst Australia, Clayton, Vic, Australia
[5] Monash Univ, Monash eRes Ctr, Melbourne, Vic, Australia
[6] Murdoch Childrens Res Inst, Parkville, Vic, Australia
基金
英国医学研究理事会; 澳大利亚研究理事会;
关键词
Gene ontology; GO enrichment; Web services; Interactive visualisation; Semantic web; SIMILARITY;
D O I
10.1186/s12859-022-04594-1
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Background Gene ontology (GO) enrichment analysis is frequently undertaken during exploration of various -omics data sets. Despite the wide array of tools available to biologists to perform this analysis, meaningful visualisation of the overrepresented GO in a manner which is easy to interpret is still lacking. Results Monash Gene Ontology (MonaGO) is a novel web-based visualisation system that provides an intuitive, interactive and responsive interface for performing GO enrichment analysis and visualising the results. MonaGO supports gene lists as well as GO terms as inputs. Visualisation results can be exported as high-resolution images or restored in new sessions, allowing reproducibility of the analysis. An extensive comparison between MonaGO and 11 state-of-the-art GO enrichment visualisation tools based on 9 features revealed that MonaGO is a unique platform that simultaneously allows interactive visualisation within one single output page, directly accessible through a web browser with customisable display options. Conclusion MonaGO combines dynamic clustering and interactive visualisation as well as customisation options to assist biologists in obtaining meaningful representation of overrepresented GO terms, producing simplified outputs in an unbiased manner. MonaGO will facilitate the interpretation of GO analysis and will assist the biologists into the representation of the results.
引用
收藏
页数:16
相关论文
共 50 条
  • [1] MonaGO: a novel gene ontology enrichment analysis visualisation system
    Ziyin Xin
    Yujun Cai
    Louis T. Dang
    Hannah M. S. Burke
    Jerico Revote
    Natalie Charitakis
    Denis Bienroth
    Hieu T. Nim
    Yuan-Fang Li
    Mirana Ramialison
    BMC Bioinformatics, 23
  • [2] Gene Ontology Enrichment Analysis of Renal Agenesis: Improving Prenatal Molecular Diagnosis
    Kalantari, Silvia
    Filges, Isabel
    MOLECULAR SYNDROMOLOGY, 2021, 12 (06) : 362 - 371
  • [3] Improving detection of differentially expressed gene sets by applying cluster enrichment analysis to Gene Ontology
    Tao Xu
    JianLei Gu
    Yan Zhou
    LinFang Du
    BMC Bioinformatics, 10
  • [4] Analysis of the chemical toxicity effects using the enrichment of Gene Ontology terms and KEGG pathways
    Chen, Lei
    Zhang, Yu-Hang
    Zou, Quan
    Chu, Chen
    Ji, Zhiliang
    BIOCHIMICA ET BIOPHYSICA ACTA-GENERAL SUBJECTS, 2016, 1860 (11): : 2619 - 2626
  • [5] Gene ontology enrichment analysis of PPAR-γ modulators from Cassia glauca in diabetes mellitus
    Ternikar, Shama G.
    Patil, M. B.
    Pasha, Ismail
    Dwivedi, Prarambh S. R.
    JOURNAL OF DIABETES AND METABOLIC DISORDERS, 2021, 20 (02) : 1239 - 1246
  • [6] EasyGO: Gene Ontology-based annotation and functional enrichment analysis tool for agronomical species
    Xin Zhou
    Zhen Su
    BMC Genomics, 8
  • [7] Gene ontology enrichment analysis of PPAR-γ modulators from Cassia glauca in diabetes mellitus
    Shama G. Ternikar
    M. B. Patil
    Ismail Pasha
    Prarambh S. R. Dwivedi
    Journal of Diabetes & Metabolic Disorders, 2021, 20 : 1239 - 1246
  • [8] Approaching the axiomatic enrichment of the Gene Ontology from a lexical perspective
    Quesada-Martinez, Manuel
    Mikroyannidi, Eleni
    Tomas Fernandez-Breis, Jesualdo
    Stevens, Robert
    ARTIFICIAL INTELLIGENCE IN MEDICINE, 2015, 65 (01) : 35 - 48
  • [9] TS-GOEA: a web tool for tissue-specific gene set enrichment analysis based on gene ontology
    Peng, Jiajie
    Lu, Guilin
    Xue, Hansheng
    Wang, Tao
    Shang, Xuequn
    BMC BIOINFORMATICS, 2019, 20 (Suppl 18)
  • [10] TS-GOEA: a web tool for tissue-specific gene set enrichment analysis based on gene ontology
    Jiajie Peng
    Guilin Lu
    Hansheng Xue
    Tao Wang
    Xuequn Shang
    BMC Bioinformatics, 20