论文标题
单细胞蛋白质组学数据分析的当前状态
The current state of single-cell proteomics data analysis
论文作者
论文摘要
声音数据分析对于从单细胞蛋白质组学实验中检索有意义的生物学信息至关重要。该分析是通过组装到工作流中的计算方法进行的，它们的实现会影响可以从数据中得出的结论。在这项工作中，我们探索并比较了过去四年中使用的计算工作流，并确定了如何分析如何分析单细胞蛋白质组学数据的共识。我们强调了计算工作流程，计算工具和数据的标准化以及精心设计的实验的必要性。最后，我们涵盖了目前的标准化工作，旨在填补空白并列出其余缺失的作品，并以从已发表的单细胞蛋白质组学分析的复制中学到的教训得出结论。
Sound data analysis is essential to retrieve meaningful biological information from single-cell proteomics experiments. This analysis is carried out by computational methods that are assembled into workflows, and their implementations influence the conclusions that can be drawn from the data. In this work, we explore and compare the computational workflows that have been used over the last four years and identify a profound lack of consensus on how to analyze single-cell proteomics data. We highlight the need for benchmarking of computational workflows, standardization of computational tools and data, as well as carefully designed experiments. Finally, we cover the current standardization efforts that aim to fill the gap and list the remaining missing pieces, and conclude with lessons learned from the replication of published single-cell proteomics analyses.
