TY - JOUR
T1 - sRNAtoolbox
T2 - Dockerized Analysis of Small RNA Sequencing Data in Model and Non-model Species
AU - G?mez-Mart?n, Cristina
AU - Aparicio-Puerta, Ernesto
AU - Hackenberg, Michael
N1 - Publisher Copyright: © 2023. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2023
Y1 - 2023
N2 - The current versions of the microRNA databases MiRgeneDB, miRBase, and PmiREN contain annotations for a total of 358 different species. Public repositories, however, host small RNA sequencing data for over 800 species. This discrepancy implies that microRNA research is also very active in species that neither have an available high-quality genome assembly nor annotations for microRNAs or other types of noncoding genes. These cases are particularly challenging to analyze because reference sequences need to be collected from different sources and processed and formatted appropriately so that the dedicated small RNA analysis tools can make use of them. In this protocol we describe how small RNA sequencing data can be easily analyzed by means of a dockerized version of the well-established sRNAtoolbox/sRNAbench small RNA tools. We outline the analysis of two publicly available datasets to demonstrate basic aspects like the preparation of the local database, expression profiling, or differential expression analysis as well as more advanced features such as quantification of exogenous RNA content and data analysis in non-model species.
AB - The current versions of the microRNA databases MiRgeneDB, miRBase, and PmiREN contain annotations for a total of 358 different species. Public repositories, however, host small RNA sequencing data for over 800 species. This discrepancy implies that microRNA research is also very active in species that neither have an available high-quality genome assembly nor annotations for microRNAs or other types of noncoding genes. These cases are particularly challenging to analyze because reference sequences need to be collected from different sources and processed and formatted appropriately so that the dedicated small RNA analysis tools can make use of them. In this protocol we describe how small RNA sequencing data can be easily analyzed by means of a dockerized version of the well-established sRNAtoolbox/sRNAbench small RNA tools. We outline the analysis of two publicly available datasets to demonstrate basic aspects like the preparation of the local database, expression profiling, or differential expression analysis as well as more advanced features such as quantification of exogenous RNA content and data analysis in non-model species.
KW - Bioinformatics
KW - Next generation sequencing
KW - Non-model species
KW - Small RNA
KW - Virtual machine
UR - http://www.scopus.com/inward/record.url?scp=85147046449&partnerID=8YFLogxK
U2 - https://doi.org/10.1007/978-1-0716-2982-6_13
DO - https://doi.org/10.1007/978-1-0716-2982-6_13
M3 - Article
C2 - 36689184
SN - 1064-3745
VL - 2630
SP - 179
EP - 213
JO - Methods in molecular biology (Clifton, N.J.)
JF - Methods in molecular biology (Clifton, N.J.)
ER -