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- W2063681612 endingPage "284" @default.
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- W2063681612 abstract "Bacterial small RNAs (sRNAs) are an emerging class of regulatory RNAs of about 40-500 nucleotides in length and, by binding to their target mRNAs or proteins, get involved in many biological processes such as sensing environmental changes and regulating gene expression. Thus, identification of bacterial sRNAs and their targets has become an important part of sRNA biology. Current strategies for discovery of sRNAs and their targets usually involve bioinformatics prediction followed by experimental validation, emphasizing a key role for bioinformatics prediction. Here, therefore, we provided an overview on prediction methods, focusing on the merits and limitations of each class of models. Finally, we will present our thinking on developing related bioinformatics models in future." @default.
- W2063681612 created "2016-06-24" @default.
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- W2063681612 creator A5034720217 @default.
- W2063681612 creator A5056217834 @default.
- W2063681612 creator A5077262017 @default.
- W2063681612 date "2012-10-01" @default.
- W2063681612 modified "2023-10-15" @default.
- W2063681612 title "Predicting sRNAs and Their Targets in Bacteria" @default.
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- W2063681612 doi "https://doi.org/10.1016/j.gpb.2012.09.004" @default.
- W2063681612 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5054197" @default.