| Literature DB >> 33326069 |
Jessime M Kirk1,2,3, Daniel Sprague1,3,4, J Mauro Calabrese5,6,7,8.
Abstract
K-mer based comparisons have emerged as powerful complements to BLAST-like alignment algorithms, particularly when the sequences being compared lack direct evolutionary relationships. In this chapter, we describe methods to compare k-mer content between groups of long noncoding RNAs (lncRNAs), to identify communities of lncRNAs with related k-mer contents, to identify the enrichment of protein-binding motifs in lncRNAs, and to scan for domains of related k-mer contents in lncRNAs. Our step-by-step instructions are complemented by Python code deposited in Github. Though our chapter focuses on lncRNAs, the methods we describe could be applied to any set of nucleic acid sequences.Entities:
Keywords: Communities; Domain; LncRNA; Long noncoding RNA; Louvain algorithm; Networks; Protein-binding motif; Sequence alignment; Unsupervised clustering; k-mer
Year: 2021 PMID: 33326069 DOI: 10.1007/978-1-0716-1158-6_4
Source DB: PubMed Journal: Methods Mol Biol ISSN: 1064-3745