Although various tools for Gene Ontology (GO) term enrichment analysis are available, there is still room for improvement. Hence, we present DiNGO, a standalone application based on an open source code from BiNGO, a widely-used application to assess the overrepresentation of GO categories. Besides facilitating GO term enrichment analyses, DiNGO has been developed to allow for convenient Human Phenotype Ontology (HPO) term overrepresentation investigation. This is an important contribution considering the increasing interest in HPO in scientific research and its potential in clinical settings. DiNGO supports gene/protein identifier conversion and an automatic updating of GO and HPO annotation resources. Finally, DiNGO can rapidly process a large amount of data due to its multithread design.DiNGO is implemented in the JAVA language, and its source code, example datasets and instructions are available on GitHub: https://github.com/radoslav180/DiNGO. A pre-compiled jar file is available at...: https://www.vin.bg.ac.rs/180/tools/DiNGO.php.Supplementary data are available at Bioinformatics online.
TY - JOUR
AU - Davidović, Radoslav S.
AU - Perović, Vladimir R.
AU - Gemović, Branislava S.
AU - Veljković, Nevena V.
PY - 2020
UR - https://vinar.vin.bg.ac.rs/handle/123456789/9666
AB - Although various tools for Gene Ontology (GO) term enrichment analysis are available, there is still room for improvement. Hence, we present DiNGO, a standalone application based on an open source code from BiNGO, a widely-used application to assess the overrepresentation of GO categories. Besides facilitating GO term enrichment analyses, DiNGO has been developed to allow for convenient Human Phenotype Ontology (HPO) term overrepresentation investigation. This is an important contribution considering the increasing interest in HPO in scientific research and its potential in clinical settings. DiNGO supports gene/protein identifier conversion and an automatic updating of GO and HPO annotation resources. Finally, DiNGO can rapidly process a large amount of data due to its multithread design.DiNGO is implemented in the JAVA language, and its source code, example datasets and instructions are available on GitHub: https://github.com/radoslav180/DiNGO. A pre-compiled jar file is available at: https://www.vin.bg.ac.rs/180/tools/DiNGO.php.Supplementary data are available at Bioinformatics online.
T2 - Bioinformatics
T1 - DiNGO: standalone application for Gene Ontology and Human Phenotype Ontology term enrichment analysis
VL - 36
IS - 6
SP - 1981
EP - 1982
DO - 10.1093/bioinformatics/btz836
ER -
@article{
author = "Davidović, Radoslav S. and Perović, Vladimir R. and Gemović, Branislava S. and Veljković, Nevena V.",
year = "2020",
abstract = "Although various tools for Gene Ontology (GO) term enrichment analysis are available, there is still room for improvement. Hence, we present DiNGO, a standalone application based on an open source code from BiNGO, a widely-used application to assess the overrepresentation of GO categories. Besides facilitating GO term enrichment analyses, DiNGO has been developed to allow for convenient Human Phenotype Ontology (HPO) term overrepresentation investigation. This is an important contribution considering the increasing interest in HPO in scientific research and its potential in clinical settings. DiNGO supports gene/protein identifier conversion and an automatic updating of GO and HPO annotation resources. Finally, DiNGO can rapidly process a large amount of data due to its multithread design.DiNGO is implemented in the JAVA language, and its source code, example datasets and instructions are available on GitHub: https://github.com/radoslav180/DiNGO. A pre-compiled jar file is available at: https://www.vin.bg.ac.rs/180/tools/DiNGO.php.Supplementary data are available at Bioinformatics online.",
journal = "Bioinformatics",
title = "DiNGO: standalone application for Gene Ontology and Human Phenotype Ontology term enrichment analysis",
volume = "36",
number = "6",
pages = "1981-1982",
doi = "10.1093/bioinformatics/btz836"
}
Davidović, R. S., Perović, V. R., Gemović, B. S.,& Veljković, N. V.. (2020). DiNGO: standalone application for Gene Ontology and Human Phenotype Ontology term enrichment analysis. in Bioinformatics, 36(6), 1981-1982.
https://doi.org/10.1093/bioinformatics/btz836
Davidović RS, Perović VR, Gemović BS, Veljković NV. DiNGO: standalone application for Gene Ontology and Human Phenotype Ontology term enrichment analysis. in Bioinformatics. 2020;36(6):1981-1982.
doi:10.1093/bioinformatics/btz836 .
Davidović, Radoslav S., Perović, Vladimir R., Gemović, Branislava S., Veljković, Nevena V., "DiNGO: standalone application for Gene Ontology and Human Phenotype Ontology term enrichment analysis" in Bioinformatics, 36, no. 6 (2020):1981-1982,
https://doi.org/10.1093/bioinformatics/btz836 . .
