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bioRxiv · 10.1101/595322

FilTar: Using RNA-Seq data to improve microRNA target prediction accuracy in animals

Bradley, T.·Moxon, S.
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Abstract

MicroRNAs (miRNAs) are a class of small non-coding RNA molecule, approximately 22nt in length, which guide the repression of mRNA transcripts. A number of tools have been developed to predict miRNA targets in animals which do not account for the effects of a specific cellular context on miRNA targeting. We present FilTar (Filtering of predicted miRNA Targets), a method which utilises available RNA-Seq information to filter non- or lowly expressed transcripts and refine existing 3UTR annotations for a given cellular context, to increase miRNA target prediction accuracy in animals.\n\nThe FilTar tool is available at https://github.com/TBradley27/FilTar.

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Bradley, T., Moxon, S.. 2019-04-01. FilTar: Using RNA-Seq data to improve microRNA target prediction accuracy in animals. https://doi.org/10.1101/595322

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