2017
DOI: 10.1186/s13059-017-1372-2
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DE-kupl: exhaustive capture of biological variation in RNA-seq data through k-mer decomposition

Abstract: We introduce a k-mer-based computational protocol, DE-kupl, for capturing local RNA variation in a set of RNA-seq libraries, independently of a reference genome or transcriptome. DE-kupl extracts all k-mers with differential abundance directly from the raw data files. This enables the retrieval of virtually all variation present in an RNA-seq data set. This variation is subsequently assigned to biological events or entities such as differential long non-coding RNAs, splice and polyadenylation variants, introns… Show more

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Cited by 44 publications
(54 citation statements)
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“…The “dump” command was used to output the k-mers and their counts. The k-mer abundances were formatted into a matrix using joinCounts from the DE-kupl software ( Audoux et al. 2017 ).…”
Section: Methodsmentioning
confidence: 99%
“…The “dump” command was used to output the k-mers and their counts. The k-mer abundances were formatted into a matrix using joinCounts from the DE-kupl software ( Audoux et al. 2017 ).…”
Section: Methodsmentioning
confidence: 99%
“…Another possible application is to identify sequences that contribute to the difference between sequencing samples of different states, as a distribution of Nubeam numbers of a sample can be viewed as a mixture distribution with component distributions of different weights. Nubeam can be effective in some areas where the k-mer approach is useful, such as characterizing protein binding motif (Newburger and Bulyk 2009), CpG island by the flanking regions (Chae et al 2013), and sequence feature for haplotype grouping (Navarro-Gomez et al 2015), analyzing RNA-seq data to gain novel insights on new exons and splicing isoforms (Bray et al 2016;Audoux et al 2017), and even detecting genetic associations (Rahman et al 2018).…”
Section: Discussionmentioning
confidence: 99%
“…Because mRNA sequences preferred by an RNA-cleaving toxin [33] are expected to be depleted from RNA-seq reads, we also used DE-kupl [34] to look for differences in kmer frequencies between RNA-seq samples from cells with and without active toxin. No significant differences were found.…”
Section: Unopposed Toxin Does Not Cleave Competence-induced Mrnas Atmentioning
confidence: 99%