Abstract
Postranscriptional regulation has been widely shown to be regulated by several classes of small non-coding RNAs; most abundantly, microRNAs, which have been shown to be the first dominant class and has been widely characterized as post-transcriptional regulators. In addition to microRNAs, triggered by miRNAs, transcripts called as PHAS (or TAS) generate abundant class of small RNAs in 21-nt manner, which is a pattern formed by DICER-LIKE 4 (DCL4) processing. Although PHAS can be identified by aligning transcripts to reported PHAS in other species, the most sensitive and accurate way to discovery them is by mapping of the smallRNAs taking into account the transcript coordinates. Here, we describe a workflow that can be used for the identification PHAS and corresponding phasiRNAs in Brachypodium distachyon using publically availabe smallRNAs datasets.
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Yang, K., Wen, X., Sablok, G. (2018). Method for the Large-Scale Identification of phasiRNAs in Brachypodium distachyon . In: Sablok, G., Budak, H., Ralph, P. (eds) Brachypodium Genomics. Methods in Molecular Biology, vol 1667. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7278-4_14
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DOI: https://doi.org/10.1007/978-1-4939-7278-4_14
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