Accurate Adapter Information Is Crucial for Reproducibility and Reusability in Small RNA Seq Studies
Overview
Affiliations
A necessary pre-processing data analysis step is the removal of adapter sequences from the raw reads. While most adapter trimming tools require adapter sequence as an essential input, adapter information is often incomplete or missing. This can impact quantification of features, reproducibility of the study and might even lead to erroneous conclusions. Here, we provide examples to highlight the importance of specifying the adapter sequence by demonstrating the effect of using similar but different adapter sequences and identify additional potential sources of errors in the adapter trimming step. Finally, we propose solutions by which users can ensure their small RNA-seq data is fully annotated with adapter information.
Maqueda J, Giovanazzi A, Rocha A, Rocha S, Silva I, Saraiva N J Extracell Biol. 2024; 2(6):e91.
PMID: 38938917 PMC: 11080836. DOI: 10.1002/jex2.91.
FindAdapt: A python package for fast and accurate adapter detection in small RNA sequencing.
Chen H, Wang J, Shyr Y, Liu Q PLoS Comput Biol. 2024; 20(1):e1011786.
PMID: 38252662 PMC: 10833567. DOI: 10.1371/journal.pcbi.1011786.
A bioinformatics approach to microRNA-sequencing analysis.
Potla P, Ali S, Kapoor M Osteoarthr Cartil Open. 2022; 3(1):100131.
PMID: 36475076 PMC: 9718162. DOI: 10.1016/j.ocarto.2020.100131.
Xu F, Wang Y, Ling Y, Zhou C, Wang H, Teschendorff A Genomics Proteomics Bioinformatics. 2022; 20(3):446-454.
PMID: 35643191 PMC: 9801039. DOI: 10.1016/j.gpb.2022.04.006.
Vazquez P, Hirayama-Shoji K, Novik S, Krauss S, Rayner S Bioinformatics. 2022; 38(15):3812-3817.
PMID: 35639939 PMC: 9344842. DOI: 10.1093/bioinformatics/btac362.