Information Ecology of Bioinformatic in Web of Science with Emphasizing on Articles Thematic Interaction

The present study aims to represent the infoecology of bioinformatics, with an emphasis on the topic of relationships between studies in order to provide a scientific framework for infoecological investigations in this field. It was conducted using the co-occurrence analysis of the topic keywords of studies available on the Web of Science (WoS) Database from Clarivate Analytics and using the social network analysis. The infoecology of the studies’ topic relationships indicated that the topics of the studies were inter-related as information elements, also known as infocenoses, in the form of seven basic clusters in the infotope of the WoS. According to the centrality indexes, topics such as proteomics, microarray, MicroRNA, genomics, gene expression, computational biology, database, and data mining had the largest topic relationships. Moreover, as emerging information elements, LNCRNA, big data, differentially expressed genes, Osteosarcoma, next-generation sequencing, protein-RNA-SEQ, protein interaction network, high-throughput sequencing metagenomics, and ITRAQ were found to create new topic relationships.