2015
DOI: 10.1186/s12859-015-0767-x
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DiffLogo: a comparative visualization of sequence motifs

Abstract: BackgroundFor three decades, sequence logos are the de facto standard for the visualization of sequence motifs in biology and bioinformatics. Reasons for this success story are their simplicity and clarity. The number of inferred and published motifs grows with the number of data sets and motif extraction algorithms. Hence, it becomes more and more important to perceive differences between motifs. However, motif differences are hard to detect from individual sequence logos in case of multiple motifs for one tr… Show more

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Cited by 69 publications
(64 citation statements)
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“…32 By comparing the LOGOS for related compounds, or DiffLogos, 33 structure-activity relationships (SARs) can be defined. Indeed, various hit compounds differ by a single functional group, including compounds 1 and 2 (Figure 5).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…32 By comparing the LOGOS for related compounds, or DiffLogos, 33 structure-activity relationships (SARs) can be defined. Indeed, various hit compounds differ by a single functional group, including compounds 1 and 2 (Figure 5).…”
Section: Resultsmentioning
confidence: 99%
“…“Enriched” and “discriminated” sequences were kept separate using JMP, Version 13.2.1 (SAS Institute, Cary, NC). The R package Difflogo, 33 which is part of Bioconductor, was utilized to create the sequence logos from PWM lists for each compound and visually compare the differences between them.…”
Section: Methodsmentioning
confidence: 99%
“…The resulting matrices were plotted using DiffLogo. 77 Prediction of piRNA clusters and loci from sequencing data piRNA cluster detection was performed on Nematostella piRNAs using the proTRAC pipeline version 2.1 78 with the options protrac_nv (Supplemental Table S3) for each developmental stage. Clusters were then merged using the bedtools suite, 79 resulting in 457 clusters.…”
Section: Assessment Of the Ping-pong Signalmentioning
confidence: 99%
“…The Jensen-Shannon Divergences of splice site sequence subsets and associated tests for statistical significance were calculated using DiffLogo (60). All other sequence logos were generated using ggseqlogo (61).…”
Section: Rnaseq Splicing Analysismentioning
confidence: 99%