Abstract
Research interests in microRNAs have increased because of its growing evidences that miRNAs are dysregulated in cancers. Computational identification of miRNAs is a powerful method used in data analysis studies and often applied to all aspects of biomedical researches. Due to the impact of information technology and analytical methods, bioinformatics became an integral part in biological research. Bioinformatics tools are a great choice for identifying suitable miRNA targets because it allows the accurate interpretation of results by means of statistical methods and graphical display. Thus, miRNA tools and databases allow users to decipher the knowledge of variants and its related biological processes, genes, as well as proteins. Since miRNA research is a major topic in biological research, it is important to develop novel as well as upgrade the existing tools and web servers. In this book chapter, we highlight the method of use, features, and significance of various tools and servers helpful for miRNA research. A general methodology for data mining is described for each pipeline and its features are described.
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Mustafa, S., Madhavan, M., Santosh Sushma, P., Prasad, D. (2022). Computational Approaches for MicroRNA Studies. In: Prasad, D., Santosh Sushma, P. (eds) Role of MicroRNAs in Cancers. Springer, Singapore. https://doi.org/10.1007/978-981-16-9186-7_10
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