DeSignate Tool

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

DeSignate Tool

Titel in Übersetzung: DeSigNate

Thomas Hütter (Fotograf/in), Nikolaus Augsten (Sonstige), Sabine Agatha (Sonstige), Manuel Kocher (Entwickler/in), Maximilian Ganser (Designer/in), Merima Halkic (Sonstige)

Publikation: Elektronische/multimediale Veröffentlichungen › Software

Abstract

DeSignate is an innovative tool for detecting diagnostic molecular characters (= signature characters) and their positions for complementing taxon diagnoses. The analysis is based on a novel representation of the gene sequence data, which enables a ranking of all alignment positions (= molecular character) according to their classification and diagnostic relevance.

DeSignate is also able to detect diagnostic character combinations (= combined alignment positions). The tool guides the user step-by-step through the analysis and presents the results without need to post-process the output data.

Titel in Übersetzung	DeSigNate
Originalsprache	Englisch
Publikationsstatus	Veröffentlicht - 2020

Systematik der Wissenschaftszweige 2012

102 Informatik
106 Biologie

Andere Dateien und Links

2 Abgeschlossen

Disclosing the Biodiversity and Evolutionary Relationships of Planktonic Ciliates (Alveolata, Ciliophora, Oligotrichea) Based on Big Data from the Northwest Pacific Biodiversity Hotspot and the North Atlantic
Agatha, S. (Projektleitung)
1/04/17 → 30/04/20
Projekt: Forschung
FFTED: Fast and Flexible Tree Edit Distance
Augsten, N. (Projektleitung)
1/03/17 → 31/08/22
Projekt: Forschung

1 Abstract
1 Artikel
1 Sonstiger Beitrag

Similarity Queries over Hierarchical Data
Hütter, T., 2021
Publikation: Andere Beiträge › Sonstiger Beitrag › Forschung › Peer-reviewed
DeSignate: detecting signature characters in gene sequence alignments for taxon diagnoses
Hütter, T., Ganser, M., Kocher, M., Halkic, M., Agatha, S. & Augsten, N., 20 Apr. 2020, in: BMC Bioinformatics. 21, 1, S. 151 9 S., 151.
Publikation: Beitrag in Fachzeitschrift › Artikel › Peer-reviewed

Open Access
DeSigNate: A user-friendly tool to detect signature nucleotides for taxon diagnoses
Ganser, M., Hütter, T., Kocher, M., Halkic, M., Augsten, N. & Agatha, S., 2019.
Publikation: Konferenzbeitrag › Abstract

Poster presentation award (1st place) at the 40th DGP meeting 2021
Ganser, M. (Empfänger/in), 26 Feb. 2021
Auszeichnung

1 Poster-Präsentation

DeSignate: detecting signature characters in gene sequence alignments for taxon diagnoses.
Ganser, M. (Redner/in), Hütter, T. (Präsentator/in), Kocher, M. (Präsentator/in), Halkic, M. (Präsentator/in), Augsten, N. (Präsentator/in) & Agatha, S. (Präsentator/in)
24 Feb. 2021
Aktivität: Gastvortrag oder Vortrag › Poster-Präsentation › science to science / art to art

Dieses zitieren

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title = "DeSignate Tool",

abstract = "DeSignate is an innovative tool for detecting diagnostic molecular characters (= signature characters) and their positions for complementing taxon diagnoses. The analysis is based on a novel representation of the gene sequence data, which enables a ranking of all alignment positions (= molecular character) according to their classification and diagnostic relevance.DeSignate is also able to detect diagnostic character combinations (= combined alignment positions). The tool guides the user step-by-step through the analysis and presents the results without need to post-process the output data.",

author = "Thomas H{\"u}tter and Nikolaus Augsten and Sabine Agatha and Manuel Kocher and Maximilian Ganser and Merima Halkic",

year = "2020",

language = "English",

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TY - ADVS

T1 - DeSignate Tool

A2 - Hütter, Thomas

A2 - Augsten, Nikolaus

A2 - Agatha, Sabine

A2 - Kocher, Manuel

A2 - Ganser, Maximilian

A2 - Halkic, Merima

PY - 2020

Y1 - 2020

N2 - DeSignate is an innovative tool for detecting diagnostic molecular characters (= signature characters) and their positions for complementing taxon diagnoses. The analysis is based on a novel representation of the gene sequence data, which enables a ranking of all alignment positions (= molecular character) according to their classification and diagnostic relevance.DeSignate is also able to detect diagnostic character combinations (= combined alignment positions). The tool guides the user step-by-step through the analysis and presents the results without need to post-process the output data.

AB - DeSignate is an innovative tool for detecting diagnostic molecular characters (= signature characters) and their positions for complementing taxon diagnoses. The analysis is based on a novel representation of the gene sequence data, which enables a ranking of all alignment positions (= molecular character) according to their classification and diagnostic relevance.DeSignate is also able to detect diagnostic character combinations (= combined alignment positions). The tool guides the user step-by-step through the analysis and presents the results without need to post-process the output data.

UR - http://designate.dbresearch.uni-salzburg.at

UR - https://github.com/DatabaseGroup/DeSignate

M3 - Software

ER -

DeSignate Tool

Abstract

Systematik der Wissenschaftszweige 2012

Andere Dateien und Links

Projekte

Disclosing the Biodiversity and Evolutionary Relationships of Planktonic Ciliates (Alveolata, Ciliophora, Oligotrichea) Based on Big Data from the Northwest Pacific Biodiversity Hotspot and the North Atlantic

FFTED: Fast and Flexible Tree Edit Distance

Publikationen

Similarity Queries over Hierarchical Data

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

DeSigNate: A user-friendly tool to detect signature nucleotides for taxon diagnoses

Auszeichnungen

Poster presentation award (1st place) at the 40th DGP meeting 2021

Aktivitäten

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

Dieses zitieren