AI Article Synopsis
- The text discusses the use of cloning and sequencing to discover new microRNAs (miRNAs) but highlights computational predictions as a simpler alternative, especially for viral studies.
- It focuses on how this method is beneficial because it generates a manageable number of miRNA candidates that can be easily verified.
- The authors introduce a specific tool called VMir, which is designed for predicting potential miRNA genes in viral genomes.
Article Abstract
While cloning and/or massive parallel sequencing of small RNAs represent powerful tools for the discovery of novel miRNAs, computational miRNA prediction represents a valuable alternative which can be performed with comparably little technical effort. This is especially true for viruses, as the number of predicted candidates generally remains low and thus within a range that may be readily confirmed by experimental means. Here, we provide a detailed protocol for the prediction of putative miRNA genes using VMir, an ab initio prediction program which we have recently designed specifically to identify pre-miRNAs in viral genomes.
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| http://dx.doi.org/10.1007/978-1-61779-037-9_8 | DOI Listing |
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