Accurate Adapter Information Is Crucial for Reproducibility and Reusability in Small RNA Seq Studies
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 t...
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Published in | Non-coding RNA Vol. 5; no. 4; p. 49 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Switzerland
MDPI AG
28.10.2019
MDPI |
Subjects | |
Online Access | Get full text |
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Summary: | 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. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Zhong, Xiangfu (2020) Improving the understanding of mammalian microRNAs: from annotation, isomiR and function. Doctoral thesis http://hdl.handle.net/10852/78825 |
ISSN: | 2311-553X 2311-553X |
DOI: | 10.3390/ncrna5040049 |