PathwayNexus : a tool for interactive metabolic data analysis

Lade...
Vorschaubild
Dateien
Zu diesem Dokument gibt es keine Dateien.
Datum
2024
Herausgeber:innen
Kontakt
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
URI (zitierfähiger Link)
ArXiv-ID
Internationale Patentnummer
Angaben zur Forschungsförderung
Deutsche Forschungsgemeinschaft (DFG): 251654672
Projekt
Open Access-Veröffentlichung
Open Access Gold
Core Facility der Universität Konstanz
Gesperrt bis
Titel in einer weiteren Sprache
Publikationstyp
Zeitschriftenartikel
Publikationsstatus
Published
Erschienen in
Bioinformatics. Oxford University Press (OUP). 2024, 40(6). ISSN 1367-4803. eISSN 1367-4811. Verfügbar unter: doi: 10.1093/bioinformatics/btae310
Zusammenfassung

Motivation: High-throughput omics methods increasingly result in large datasets including metabolomics data, which are often difficult to analyse.
Result: To help researchers to handle and analyse those datasets by mapping and investigating metabolomics data of multiple sampling conditions (e. g., different time points or treatments) in the context of pathways, PathwayNexus has been developed, which presents the mapping results in a matrix format, allowing users to easily observe the relations between the compounds and the pathways. It also offers functionalities like ranking, sorting, clustering, pathway views and further analytical tools. Its primary objective is to condense large sets of pathways into smaller, more relevant subsets that align with the specific interests of the user.
Availability and Implementation: The methodology presented here is implemented in PathwayNexus, an open-source add-on for Vanted available at www.cls.uni-konstanz.de/software/pathway-nexus.
Supplementary Information: Website: www.cls.uni-konstanz.de/software/pathway-nexus

Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
004 Informatik
Schlagwörter
Konferenz
Rezension
undefined / . - undefined, undefined
Forschungsvorhaben
Organisationseinheiten
Zeitschriftenheft
Datensätze
Zitieren
ISO 690EBERHARD, Philipp, Martin KERN, Michael AICHEM, Hanna BORLINGHAUS, Karsten KLEIN, Johannes DELP, Ilinca SUCIU, Benjamin MOSER, Daniel R. DIETRICH, Marcel LEIST, Falk SCHREIBER, 2024. PathwayNexus : a tool for interactive metabolic data analysis. In: Bioinformatics. Oxford University Press (OUP). 2024, 40(6). ISSN 1367-4803. eISSN 1367-4811. Verfügbar unter: doi: 10.1093/bioinformatics/btae310
BibTex
@article{Eberhard2024-06-03Pathw-69962,
  year={2024},
  doi={10.1093/bioinformatics/btae310},
  title={PathwayNexus : a tool for interactive metabolic data analysis},
  number={6},
  volume={40},
  issn={1367-4803},
  journal={Bioinformatics},
  author={Eberhard, Philipp and Kern, Martin and Aichem, Michael and Borlinghaus, Hanna and Klein, Karsten and Delp, Johannes and Suciu, Ilinca and Moser, Benjamin and Dietrich, Daniel R. and Leist, Marcel and Schreiber, Falk}
}
RDF
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/69962">
    <dcterms:title>PathwayNexus : a tool for interactive metabolic data analysis</dcterms:title>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:creator>Leist, Marcel</dc:creator>
    <dc:contributor>Kern, Martin</dc:contributor>
    <dc:creator>Klein, Karsten</dc:creator>
    <dc:creator>Moser, Benjamin</dc:creator>
    <dc:contributor>Moser, Benjamin</dc:contributor>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:contributor>Aichem, Michael</dc:contributor>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/69962"/>
    <dc:contributor>Eberhard, Philipp</dc:contributor>
    <dc:contributor>Borlinghaus, Hanna</dc:contributor>
    <dc:creator>Suciu, Ilinca</dc:creator>
    <dcterms:abstract>Motivation: High-throughput omics methods increasingly result in large datasets including metabolomics data, which are often difficult to analyse.                            
Result: To help researchers to handle and analyse those datasets by mapping and investigating metabolomics data of multiple sampling conditions (e. g., different time points or treatments) in the context of pathways, PathwayNexus has been developed, which presents the mapping results in a matrix format, allowing users to easily observe the relations between the compounds and the pathways. It also offers functionalities like ranking, sorting, clustering, pathway views and further analytical tools. Its primary objective is to condense large sets of pathways into smaller, more relevant subsets that align with the specific interests of the user.                            
Availability and Implementation: The methodology presented here is implemented in PathwayNexus, an open-source add-on for Vanted available at www.cls.uni-konstanz.de/software/pathway-nexus.                           
Supplementary Information: Website: www.cls.uni-konstanz.de/software/pathway-nexus</dcterms:abstract>
    <dc:contributor>Klein, Karsten</dc:contributor>
    <dc:creator>Schreiber, Falk</dc:creator>
    <dc:contributor>Suciu, Ilinca</dc:contributor>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:contributor>Schreiber, Falk</dc:contributor>
    <dc:creator>Dietrich, Daniel R.</dc:creator>
    <dc:creator>Delp, Johannes</dc:creator>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2024-05-13T11:53:49Z</dcterms:available>
    <dc:contributor>Dietrich, Daniel R.</dc:contributor>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2024-05-13T11:53:49Z</dc:date>
    <dc:creator>Borlinghaus, Hanna</dc:creator>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/>
    <dc:creator>Kern, Martin</dc:creator>
    <dc:language>eng</dc:language>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/>
    <dc:contributor>Delp, Johannes</dc:contributor>
    <dc:creator>Aichem, Michael</dc:creator>
    <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by/4.0/"/>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:contributor>Leist, Marcel</dc:contributor>
    <dc:creator>Eberhard, Philipp</dc:creator>
    <dc:rights>Attribution 4.0 International</dc:rights>
    <dcterms:issued>2024-06-03</dcterms:issued>
  </rdf:Description>
</rdf:RDF>
Interner Vermerk
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Kontakt
URL der Originalveröffentl.
Prüfdatum der URL
Prüfungsdatum der Dissertation
Finanzierungsart
Kommentar zur Publikation
Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet
Ja
Diese Publikation teilen