Literature DB >> 36205845

oppOntology: a MATLAB Toolbox for Enrichment Analysis.

Sheng-Yang Ge1, Ze-Ning Wang2, Chuan-Yu Sun1, Yi-Fan Tan1, Hong Jin3, Yang Zhang4.   

Abstract

Biologists often use systems of ontologies to classify gene lists obtained by high-throughput gene or protein-sequencing instruments, and then enrichment scores were used to rank the ontology system. Therefore, the important molecular functional categories related to the phenotype can be conveniently viewed in the ontology system. Since the birth of GO (Gene Ontology) organization, various types of ontology software have been developed to calculate enrichment scores for the target gene list in the GO system. Herein, we provide an enrichment calculation application oppOntology (Omics Pilot Platform for Ontology) developed by MATLAB. oppOntology supports simultaneous calculation of multiple samples with manifold enrichment scores (GeneCount, GeneRatio, EnrichFactor, HypergeometricTest, and FisherExactTest). oppOntology can not only calculate enrichment scores for generic functional databases, such as GO, KEGG, HPO, and MsigDB, but also for self-defined functional category databases and customized GO Slim. Moreover, oppOntology supports online mapping of KEGG pathway diagrams in a batch way. The GUI (Graphical User Interface) of oppOntology is developed on the architecture of AppDesigner in MATLAB, and all input and output files are Microsoft Excel. oppOntology is an independent, easy-to-use enrichment calculation software, that can be available at https://github.com/HangZhouSheep/oppOntology .
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Enrichment; Graphical User Interface; MATLAB AppDesigner; Omics Pilot Platform of Ontology; Visualization; oppOntology

Year:  2022        PMID: 36205845     DOI: 10.1007/s12010-022-04170-6

Source DB:  PubMed          Journal:  Appl Biochem Biotechnol        ISSN: 0273-2289            Impact factor:   3.094


  7 in total

1.  Ontodog: a web-based ontology community view generation tool.

Authors:  Jie Zheng; Zuoshuang Xiang; Christian J Stoeckert; Yongqun He
Journal:  Bioinformatics       Date:  2014-01-09       Impact factor: 6.937

2.  WeSME: uncovering mutual exclusivity of cancer drivers and beyond.

Authors:  Yoo-Ah Kim; Sanna Madan; Teresa M Przytycka
Journal:  Bioinformatics       Date:  2017-03-15       Impact factor: 6.937

3.  CompGO: an R package for comparing and visualizing Gene Ontology enrichment differences between DNA binding experiments.

Authors:  Ashley J Waardenberg; Samuel D Basset; Romaric Bouveret; Richard P Harvey
Journal:  BMC Bioinformatics       Date:  2015-09-02       Impact factor: 3.169

4.  GOexpress: an R/Bioconductor package for the identification and visualisation of robust gene ontology signatures through supervised learning of gene expression data.

Authors:  Kévin Rue-Albrecht; Paul A McGettigan; Belinda Hernández; Nicolas C Nalpas; David A Magee; Andrew C Parnell; Stephen V Gordon; David E MacHugh
Journal:  BMC Bioinformatics       Date:  2016-03-11       Impact factor: 3.169

5.  Metascape provides a biologist-oriented resource for the analysis of systems-level datasets.

Authors:  Yingyao Zhou; Bin Zhou; Lars Pache; Max Chang; Alireza Hadj Khodabakhshi; Olga Tanaseichuk; Christopher Benner; Sumit K Chanda
Journal:  Nat Commun       Date:  2019-04-03       Impact factor: 14.919

6.  GAIL: An interactive webserver for inference and dynamic visualization of gene-gene associations based on gene ontology guided mining of biomedical literature.

Authors:  Daniel Couch; Zhenning Yu; Jin Hyun Nam; Carter Allen; Paula S Ramos; Willian A da Silveira; Kelly J Hunt; Edward S Hazard; Gary Hardiman; Andrew Lawson; Dongjun Chung
Journal:  PLoS One       Date:  2019-07-01       Impact factor: 3.240

7.  TS-GOEA: a web tool for tissue-specific gene set enrichment analysis based on gene ontology.

Authors:  Jiajie Peng; Guilin Lu; Hansheng Xue; Tao Wang; Xuequn Shang
Journal:  BMC Bioinformatics       Date:  2019-11-25       Impact factor: 3.169

  7 in total

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