GenotypeAnalytics: a RESTFul platform to mine multiple associations between SNPs and drug response in case-control studies
1
Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
2
Data Analytics Research Center, University Magna Graecia of Catanzaro, Catanzaro, Italy
- Published
- Accepted
- Subject Areas
- Bioinformatics, Computational Biology, Data Mining and Machine Learning, Data Science, World Wide Web and Web Science
- Keywords
- SNP, Association Rule Mining, RESTful, Data Mining, Pharmacogenomics, Genotype Analytics
- Copyright
- © 2017 Agapito et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2017. GenotypeAnalytics: a RESTFul platform to mine multiple associations between SNPs and drug response in case-control studies. PeerJ Preprints 5:e3299v1 https://doi.org/10.7287/peerj.preprints.3299v1
Abstract
We present GenotypeAnalytics (GA), a RESTFul service that makes it possible to mine association rules from Single Nucleotide Polymorphism (SNP) datasets using standard web browsers. GA can speed up and simplify the analysis of this massive amount of data, highlighting only the SNPs involved, for example, in the development of the disease or responsible for adverse drug reactions to the drug. In this way, the doctor may use this extracted knowledge for a significant improvement in the quality of the treatments.
Author Comment
Proceedings of the NETTAB 2017 Workshop: Methods, tools & platforms for Personalized Medicine in the Big Data Era, October 16-18, 2017, Palermo, Italy.