Open AccessMAFODKM: Mobile Application Framework for the management of Omics Data and Knowledge Mining
Author(s) -
Olugbenga Oluwagbemi,
Adewumi,
Sanjay Misra,
Marcelo León
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1566/1/012132
Subject(s) - omics , infectious disease (medical specialty) , lassa fever , computer science , javascript , data management , malaria , data science , world wide web , disease , data mining , medicine , bioinformatics , biology , pathology , immunology
There are many infectious diseases still plaguing different nations of the world. Some of these infectious diseases such as HIV, malaria, Ebola, and Lassa fever tend to affect less developed nations including those in Africa. In order to combat these diseases, there is need for ready access to omics data as the knowledge gained from this data can be used to combat infectious diseases globally. This study proposes a Mobile Application Framework for the management of Omics Data and Knowledge Mining (MAFODKM). The proposed framework was designed using a layered architecture. A prototype client application was implemented using JavaScript. In order to make it cross-platform, Apache Cordova framework was leveraged. The proposed framework will among other benefits provide an integrated platform for researchers to collaborate and conduct omics-related research to fight infectious diseases.