Improved functions for non-linear sequence comparison using SEEKR

Abstract

AbstractSEquence Evaluation throughk-mer Representation (SEEKR) is a method of sequence comparison that utilizes sequence substrings calledk-mers to quantify non-linear similarity between nucleic acid species. We describe the development of new functions within SEEKR that enable end-users to estimate p-values that ascribe statistical significance to SEEKR-derived similarities as well as visualize different aspects ofk-mer similarity. We apply the new functions to identify chromatin-enriched long noncoding RNAs (lncRNAs) that harborXIST-like sequence fragments and show that several of these fragments are bound byXIST-associated proteins. We also highlight the best practice of using RNA-Seq data to evaluate support for lncRNA annotations prior to their in-depth study in cell types of interest.