Abstract
Noncoding RNAs (ncRNAs) include different types of molecules which are not involved in the coding of proteins. Globally, different types of research are going on with ncRNAs in different types of organisms. In plants, ncRNAs have been deemed as crucial regulators of diverse types of biological processes such as development, vernalization, growth, homeostasis, and biotic and abiotic stress conditions. Current progress in experimentation and computational technologies has created fabulous momentum for the discovery of novel ncRNAs and their functional characterization. These new scientific establishments can be complimented by generating new databases and also update the present databases of ncRNAs. For this purpose, big data analysis and machine learning algorithms play a significant role. Nowadays, ncRNAs are an essential class of RNA having few appropriate databases and prediction tools. Here, we are providing the comprehensive information about the different classes of ncRNAs, their functional characters, and the applications. Additionally, we have summarized the information of different types of identification tools and databases for plant ncRNAs.
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Mandal, M., Poddar, N., Kumar, S. (2022). Identification of Novel Noncoding RNAs in Plants by Big Data Analysis. In: Singh, S. (eds) Machine Learning and Systems Biology in Genomics and Health. Springer, Singapore. https://doi.org/10.1007/978-981-16-5993-5_7
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