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FlexiDot – a customizable dotplot suite for sequence investigation and comparison

Authors: Kathrin M. Seibt; Tony Heitkam;

FlexiDot – a customizable dotplot suite for sequence investigation and comparison

Abstract

This is the presentation "FlexiDot – a customizable dotplot suite for sequence investigation and comparison", we gave in a meeting of TU Dresden's Plant Cell and Molecular Biology lab. With this talk we explain dotplots for molecular biology and present our FlexiDot dotplot tool. First, we illustrate how a dotplot is calculated. Then, we introduce FlexiDot and compare it to other software. We explain how it works as well as its features. Subsequently, we exemplify the use of FlexiDot: Our showcases include tandem repeats (such as satellite and ribosomal DNA), transposable elements (such as LTR retrotransposons), and proteins with repeated domains (filamin proteins, nucleotide-binding leucine-rich repeat proteins). More information on FlexiDot: Github: https://github.com/molbio-dresden/flexidot Publication: Seibt KM, Schmidt T, Heitkam T. 2018. FlexiDot: Highly customizable, ambiguity-aware dotplots for visual sequence analyses. Bioinformatics, 34(20): 3575–3577 - https://doi.org/10.1093/bioinformatics/bty395 - preprint version on github If you use FlexiDot in your research, please cite our article.

{"references": ["Seibt KM, Schmidt T, Heitkam T. 2018. FlexiDot: Highly customizable, ambiguity-aware dotplots for visual sequence analyses. Bioinformatics, 34(20): 3575\u20133577."]}

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Keywords

sequence comparison, dotplot, software, biology, data visualization, bioinformatics, application

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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