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- W4225998912 abstract "The rapidly advancing disciplines of data science, next-generation sequencing, and bioinformatics have provided a veritable glut of information for the exploration of novel RNA in plants. Such RNA includes endogenous, regulatory noncoding RNAs which are diverse in expression and function. To match this growing supply of information, demand has naturally led to the creation of tools that effectively identify, classify, predict, and annotate novel RNA classes across the plant genome. Many of these tools are designed to be accessible to even lay scientists to democratize access to data science methods. This chapter aims to describe the significance of these novel RNA types, as well as their current classifications, and the computational approaches available for the researchers to explore this novel space using sequencing data." @default.
- W4225998912 created "2022-05-05" @default.
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- W4225998912 date "2022-01-01" @default.
- W4225998912 modified "2023-10-18" @default.
- W4225998912 title "Identification of novel RNAs in plants with the help of next-generation sequencing technologies" @default.
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- W4225998912 doi "https://doi.org/10.1016/b978-0-323-89778-5.00018-0" @default.
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