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Further reading on bias in miRNA detection

Coenen-Stass, A.M.L., Magen, I., Brooks, T., Ben-Dov, I.Z., Greensmith, L., Hornstein, E. and Fratta, P. (2018). Evaluation of methodologies for microRNA biomarker detection by next generation sequencing. RNA biology, [online] 15(8), pp.1133–1145. Available at: https://www.ncbi.nlm.nih.gov/pubmed/30223713 [Accessed 19 Feb. 2020].

Giraldez, M.D., Spengler, R.M., Etheridge, A., Godoy, P.M., Barczak, A.J., Srinivasan, S., De Hoff, P.L., Tanriverdi, K., Courtright, A., Lu, S., Khoory, J., Rubio, R., Baxter, D., Driedonks, T.A.P., Buermans, H.P.J., Nolte-’t Hoen, E.N.M., Jiang, H., Wang, K., Ghiran, I., Wang, Y.E., Van Keuren-Jensen, K., Freedman, J.E., Woodruff, P.G., Laurent, L.C., Erle, D.J., Galas, D.J. and Tewari, M. (2018). Comprehensive multi-center assessment of small RNA-seq methods for quantitative miRNA profiling. Nature Biotechnology, [online] 36(8), pp.746–757. Available at: https://www.nature.com/articles/nbt.4183 [Accessed 19 Feb. 2020].

Wright, C., Rajpurohit, A., Burke, E.E., Williams, C., Collado-Torres, L., Kimos, M., Brandon, N.J., Cross, A.J., Jaffe, A.E., Weinberger, D.R. and Shin, J.H. (2019). Comprehensive assessment of multiple biases in small RNA sequencing reveals significant differences in the performance of widely used methods. BMC Genomics, 20(1).