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Ummul H Mohamad and Puteri NE Nohuddin (Institute of Visual Informatics, Universiti Kebangsaan Malaysia, 43600 UKM, Bangi, Selangor, Malaysia)
Advances in informatics technology has contributed towards a rapid increase in biological data and publications. However, one cannot possibly read through all the literatures to depict the current trend of certain biological topics. In this pilot study, we carry out a text mining approach using Voyant tools to visualiza an overview of molecular-related personalized medicine research in the past five years. The data include 25 abstracts obtained from PubMed database. This proof-of-concept is presented in the form of word cloud, word trends and terms linked.