In the past few decades, tremendous growth has been reported in the biological data due to development in the area of genomics, proteomics, microarray as well as biomedical imaging. These biological data are rapidly increasing but due to the availability of limited tools and techniques, the scientific community is able to generate relevant information from this data to a very limited extent. Due to advancements in the area of information technology, data mining and big data analysis tools are being used for the generation of significant results from biological databases to enrich the bioinformatics knowledge for storing, analyzing, and utilizing these data. With the help of data mining techniques and models, this has been possible to identify novel patterns from large-scale biological data and shifted the focus of the research community towards data-dependent discovery. In this chapter, we tried to give a brief insight into different processes of data exploration of biological data for establishing a bridge between data mining techniques and bioinformatics.
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