@inbook{c0b5958bb10648c8ae5e9c5b76547cfb,
title = "In Silico Analysis of Micro-RNA Sequencing Data",
abstract = "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.",
keywords = "Alignment, Bowtie, Micro-RNA, MirGeneDB, Small RNA sequencing, isomiR, miRBase",
author = "Ernesto Aparicio-Puerta and Bastian Fromm and Michael Hackenberg and Halushka, {Marc K.}",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Science+Business Media, LLC, part of Springer Nature.",
year = "2021",
doi = "10.1007/978-1-0716-1307-8_13",
language = "English (US)",
series = "Methods in Molecular Biology",
publisher = "Humana Press Inc.",
pages = "231--251",
booktitle = "Methods in Molecular Biology",
}