Publication: scanMiR: a biochemically based toolkit for versatile and efficient microRNA target prediction
scanMiR: a biochemically based toolkit for versatile and efficient microRNA target prediction
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Soutschek, M., Gross, F., Schratt, G., & Germain, P.-L. (2022). scanMiR: a biochemically based toolkit for versatile and efficient microRNA target prediction. Bioinformatics, 38, 2466–2473. https://doi.org/10.1093/bioinformatics/btac110
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MOTIVATION: microRNAs are important post-transcriptional regulators of gene expression, but the identification of functionally relevant targets is still challenging. Recent research has shown improved prediction of microRNA-mediated repression using a biochemical model combined with empirically-derived k-mer affinity predictions; however, these findings are not easily applicable. RESULTS: We translate this approach into a flexible and user-friendly bioconductor package, scanMiR, also available through a web interface. Using lightweigh
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- Soutschek, Michael
- Gross, Fridolin
- Schratt, Gerhard
- Germain, Pierre-Luc
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Soutschek, M., Gross, F., Schratt, G., & Germain, P.-L. (2022). scanMiR: a biochemically based toolkit for versatile and efficient microRNA target prediction. Bioinformatics, 38, 2466–2473. https://doi.org/10.1093/bioinformatics/btac110