SmithHunter: a workflow for the identification of candidate smithRNAs and their targets

The study of smithRNAs is still in its infancy and no dedicated analytical workflow is currently available. At its core, the SmithHunter workflow builds over the bioinformatic procedure originally applied to identify candidate smithRNAs in the Manila clam. In fact, this is currently the only evidence for smithRNAs that has been biologically validated and, therefore, the elective starting point for characterizing smithRNAs in other species. The original analysis was readapted using current software implementations and some minor issues were solved. Moreover, the workflow was improved by allowing the customization of different analytical parameters, mostly focusing on stringency and the possibility of accounting for a minimal level of genetic differentiation among samples.

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Publication Details

Journal
BMC Bioinformatics
Published
2024-09-02
DOI
https://doi.org/10.1186/s12859-024-05909-0
Citations
1
Primary Topic
Cancer-related molecular mechanisms research
Type
article
Field-Weighted Citation Impact
0.29

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SmithHunter: a workflow for the identification of candidate smithRNAs and their targets

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SmithHunter: a workflow for the identification of candidate smithRNAs and their targets

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article en
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Abstract

The study of smithRNAs is still in its infancy and no dedicated analytical workflow is currently available. At its core, the SmithHunter workflow builds over the bioinformatic procedure originally applied to identify candidate smithRNAs in the Manila clam. In fact, this is currently the only evidence for smithRNAs that has been biologically validated and, therefore, the elective starting point for characterizing smithRNAs in other species. The original analysis was readapted using current software implementations and some minor issues were solved. Moreover, the workflow was improved by allowing the customization of different analytical parameters, mostly focusing on stringency and the possibility of accounting for a minimal level of genetic differentiation among samples.

BMC BioinformaticsVol. 25(1)
University of Siena (IT), University of Palermo (IT), University of Bologna (IT)
Università degli Studi di Siena, Università di Bologna
Life in Land
Openalex Percentile: Top 40%
Cancer-related molecular mechanisms research
0.29
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