<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><submitter>Mills WT</submitter><funding>Braude Foundation award</funding><funding>NIMH NIH HHS</funding><funding>Maryland Stem Cell Research Fund Launch Program</funding><funding>National Institutes of Health</funding><funding>Blaustein Endowment for Pain Research and Education</funding><pubmed_abstract>MicroRNAs (miRNAs) are small non-coding RNAs (sncRNAs) that function in post-transcriptional gene regulation through imperfect base pairing with mRNA targets which results in inhibition of translation and typically destabilization of bound transcripts. Sequence-based algorithms historically used to predict miRNA targets face inherent challenges in reliably reflecting in vivo interactions. Recent strategies have directly profiled miRNA-target interactions by crosslinking and ligation of sncRNAs to their targets within the RNA-induced silencing complex (RISC), followed by high throughput sequencing of the chimeric sncRNA:target RNAs. Despite the strength of these direct profiling approaches, standardized pipelines for effectively analyzing the resulting chimeric sncRNA:target RNA sequencing </pubmed_abstract><journal>RNA (New York, N.Y.)</journal><pagination>rna.079240.122</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9808574</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>SCRAP: a bioinformatic pipeline for the analysis of small chimeric RNA-seq data.</pubmed_title><pmcid>PMC9808574</pmcid><funding_grant_id>F31 MH124282</funding_grant_id><funding_grant_id>F31MH124282</funding_grant_id><pubmed_authors>Meffert MK</pubmed_authors><pubmed_authors>Eadara S</pubmed_authors><pubmed_authors>Jaffe AE</pubmed_authors><pubmed_authors>Mills WT</pubmed_authors></additional><is_claimable>false</is_claimable><name>SCRAP: a bioinformatic pipeline for the analysis of small chimeric RNA-seq data.</name><description>MicroRNAs (miRNAs) are small non-coding RNAs (sncRNAs) that function in post-transcriptional gene regulation through imperfect base pairing with mRNA targets which results in inhibition of translation and typically destabilization of bound transcripts. Sequence-based algorithms historically used to predict miRNA targets face inherent challenges in reliably reflecting in vivo interactions. Recent strategies have directly profiled miRNA-target interactions by crosslinking and ligation of sncRNAs to their targets within the RNA-induced silencing complex (RISC), followed by high throughput sequencing of the chimeric sncRNA:target RNAs. Despite the strength of these direct profiling approaches, standardized pipelines for effectively analyzing the resulting chimeric sncRNA:target RNA sequencing </description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Oct</publication><modification>2026-05-28T02:14:30.753Z</modification><creation>2025-04-26T20:29:10.637Z</creation></dates><accession>S-EPMC9808574</accession><cross_references><pubmed>36316086</pubmed><doi>10.1261/rna.079240.122</doi></cross_references></HashMap>