High-throughput sequencing for micro-RNAs (miRNAs) to obtain expression estimates is a central method of molecular biology. Surprisingly, there are a number of different approaches to converting sequencing output into micro-RNA counts. Each has their own strengths and biases that impact on the final data that can be obtained from a sequencing run. This chapter serves to make the reader aware of the trade-offs one must consider in analyzing small RNA sequencing data. It then compares two methods, miRge2.0 and the sRNAbench and the steps utilized to output data from their tools.
CITATION STYLE
Aparicio-Puerta, E., Fromm, B., Hackenberg, M., & Halushka, M. K. (2021). In Silico Analysis of Micro-RNA Sequencing Data. In Methods in Molecular Biology (Vol. 2284, pp. 231–251). Humana Press Inc. https://doi.org/10.1007/978-1-0716-1307-8_13
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