Titlebook: MicroRNA Detection and Target Identification; Methods and Protocol Tamas Dalmay Book 2023Latest edition The Editor(s) (if applicable) and T

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sRNAtoolbox: Dockerized Analysis of Small RNA Sequencing Data in Model and Non-model Species, small RNA sequencing data for over 800 species. This discrepancy implies that microRNA research is also very active in species that neither have an available high-quality genome assembly nor annotations for microRNAs or other types of noncoding genes. These cases are particularly challenging to ana

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,MicroRNA–Target Identification: A Combinatorial In Silico Approach,e targets for a solitary miRNA or a subcategory of miRNAs. These tools utilize a defined set of probabilistic algorithms, machine learning techniques, and information of experimentally validated miRNA targets to provide the best selection. However, there are numerous false-positive predictions, and

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An Efficient CRISPR-Cas9 Method to Knock Out MiRNA Expression in ,5 nucleotides long, which affect gene expression through posttranscriptional repression. As miRNAs are so small and due to the limitations of known PAM sequences, it is difficult to design CRISPR sgRNAs that reproducibly lead to a KO. We have therefore developed a novel approach using two guide RNAs

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