Skip to main content

DeSignate: Detecting signature characters in gene sequence alignments for taxon diagnoses

6Citations
Citations of this article
9Readers
Mendeley users who have this article in their library.

This artice is free to access.

Abstract

Background: Molecular characters have been added in integrative taxonomic approaches in recent years. Nevertheless, taxon diagnoses are still widely restricted to morphological characters. The inclusion of molecular characters into taxon diagnoses is not only hampered by problems, such as their definition and the designation of their positions in a reference alignment, but also by the technical effort. Results: DeSignate is a tool for character-based taxon diagnoses that includes a novel ranking scheme. It detects and classifies individual and combined signature characters (diagnostic molecular characters) based on so-called character state vectors. An intuitive web application guides the user through the analysis process and provides the results at a glance. Further, formal definitions and a uniform terminology of characters are introduced. Conclusions: DeSignate facilitates the inclusion of diagnostic molecular characters and their positions to complement taxon diagnoses. Compared to previous solutions, the tool simplifies the workflow and improves reproducibility and traceability of the results. The tool is freely available as a web application at (https://designate.dbresearch.uni-salzburg.at/) and is open source (https://github.com/DatabaseGroup/DeSignate/).

Cite

CITATION STYLE

APA

Hütter, T., Ganser, M. H., Kocher, M., Halkic, M., Agatha, S., & Augsten, N. (2020). DeSignate: Detecting signature characters in gene sequence alignments for taxon diagnoses. BMC Bioinformatics, 21(1). https://doi.org/10.1186/s12859-020-3498-6

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free