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利用 SEEKR 提高非线性序列比较的功能。

Improved functions for nonlinear sequence comparison using SEEKR.

机构信息

Department of Pharmacology, University of North Carolina, Chapel Hill, North Carolina 27599, USA.

RNA Discovery Center, University of North Carolina, Chapel Hill, North Carolina 27599, USA.

出版信息

RNA. 2024 Oct 16;30(11):1408-1421. doi: 10.1261/rna.080188.124.

Abstract

SEquence Evaluation through -mer Representation (SEEKR) is a method of sequence comparison that uses sequence substrings called -mers to quantify the nonlinear similarity between nucleic acid species. We describe the development of new functions within SEEKR that enable end-users to estimate values that ascribe statistical significance to SEEKR-derived similarities, as well as visualize different aspects of -mer similarity. We apply the new functions to identify chromatin-enriched lncRNAs that contain -like sequence features, and we demonstrate the utility of applying SEEKR on lncRNA fragments to identify potential RNA-protein interaction domains. We also highlight ways in which SEEKR can be applied to augment studies of lncRNA conservation, and we outline the best practice of visualizing RNA-seq read density to evaluate support for lncRNA annotations before their in-depth study in cell types of interest.

摘要

通过 -mer 表示进行序列评估 (SEEKR) 是一种序列比较方法,它使用称为 -mers 的序列子字符串来量化核酸物种之间的非线性相似性。我们描述了 SEEKR 中开发的新功能,使最终用户能够估计为 SEEKR 衍生的相似性赋予统计意义的值,以及可视化 -mer 相似性的不同方面。我们应用新功能来识别富含染色质的 lncRNA,这些 lncRNA 包含类似的序列特征,并展示了在 lncRNA 片段上应用 SEEKR 来识别潜在的 RNA-蛋白质相互作用结构域的效用。我们还强调了 SEEKR 可以应用于增强 lncRNA 保守性研究的方法,并概述了可视化 RNA-seq 读取密度的最佳实践,以在深入研究感兴趣的细胞类型之前评估对 lncRNA 注释的支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9562/11482607/d68745747279/1408f01.jpg

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