Methods and trends in information retrieval in big data genomic research

Abstract

This paper described information retrieval (IR) and the common methods of finding, extracting, and mining information in genomic research through text mining, and natural language processing (NLP). There was a surge of genomic information from the different literature and the production of genome datasets that catapulted the development of several tools for analyzing and presenting new found knowledge in the biomedical and genome research. This paper presented the recent research trends, survey, reviews, experiments, and concepts in information retrieval applied to text, images and object features in big data genomic research. The method used is exploratory survey research in IR uses in genomic research that presents the concepts, methods, evaluation results and next steps described by the key researchers.