Zhong Xiangfu, Heinicke Fatima, Lie Benedicte A, Rayner Simon
Department of Medical Genetics, Oslo University Hospital and University of Oslo, 0450 Oslo, Norway.
Hybrid Technology Hub-Centre of Excellence, Institute of Basic Medical Sciences, University of Oslo, 0372 Oslo, Norway.
Noncoding RNA. 2019 Oct 28;5(4):49. doi: 10.3390/ncrna5040049.
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.
数据分析的一个必要预处理步骤是从原始读段中去除接头序列。虽然大多数接头修剪工具都需要接头序列作为基本输入，但接头信息往往不完整或缺失。这可能会影响特征的量化、研究的可重复性，甚至可能导致错误的结论。在这里，我们通过展示使用相似但不同的接头序列的效果来举例说明指定接头序列的重要性，并识别接头修剪步骤中其他潜在的错误来源。最后，我们提出了一些解决方案，通过这些方案用户可以确保他们的小RNA测序数据完全标注有接头信息。
