Evidence map›Paper›PMID 32312224›Full record

ArticleBMC bioinformatics2020

DeSignate: detecting signature characters in gene sequence alignments for taxon diagnoses.

Thomas Hütter, Maximilian H Ganser, Manuel Kocher, Merima Halkic, Sabine Agatha, Nikolaus Augsten

Abstract read
In one paragraph

Article in BMC bioinformatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. UITOTO: a software for generating molecular diagnoses for species descriptions.Cladistics : the international journal of the Willi Hennig Society · 2026
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Thomas HütterDepartment of Computer Sciences, University of Salzburg, Jakob-Haringer-Straße 2a, Salzburg, 5020, Austria. thomas.huetter@sbg.ac.at.ORCID http://orcid.org/0000-0002-7190-6825
Maximilian H GanserDepartment of Biosciences, University of Salzburg, Hellbrunnerstraße 34, Salzburg, 5020, Austria.
Manuel KocherDepartment of Computer Sciences, University of Salzburg, Jakob-Haringer-Straße 2a, Salzburg, 5020, Austria.
Merima HalkicDepartment of Computer Sciences, University of Salzburg, Jakob-Haringer-Straße 2a, Salzburg, 5020, Austria.
Sabine AgathaDepartment of Biosciences, University of Salzburg, Hellbrunnerstraße 34, Salzburg, 5020, Austria.
Nikolaus AugstenDepartment of Computer Sciences, University of Salzburg, Jakob-Haringer-Straße 2a, Salzburg, 5020, Austria.

Funding

Austrian Science Fund I 3268Austrian Science Fund (AT) P 29859
6 · The paper itself

Abstract

backgroundMolecular 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.

resultsDeSignate 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.

conclusionsDeSignate 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/).

Indexed as

GenesPhylogenySequence AlignmentSoftwareBase SequenceReproducibility of ResultsAlgorithmsBioinformaticsPhylogeneticsTaxonomy

Identifiers

PMID32312224
PMCPMC7171811

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.