Nietert, Manuel Manfred

[["dc.bibliographiccitation.firstpage","1278"],["dc.bibliographiccitation.issue","9"],["dc.bibliographiccitation.journal","Biomolecules"],["dc.bibliographiccitation.volume","12"],["dc.contributor.affiliation","Voskamp, Malte; 1Department of Medical Bioinformatics, University Medical Center Göttingen, Goldschmidtstraße 1, 37077 Göttingen, Germany"],["dc.contributor.affiliation","Vinhoven, Liza; 1Department of Medical Bioinformatics, University Medical Center Göttingen, Goldschmidtstraße 1, 37077 Göttingen, Germany"],["dc.contributor.affiliation","Stanke, Frauke; 2Clinic for Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Carl-Neuberg-Strasse 1, 30625 Hannover, Germany"],["dc.contributor.affiliation","Hafkemeyer, Sylvia; 4Mukoviszidose Institut gGmbH, In den Dauen 6, 53117 Bonn, Germany"],["dc.contributor.affiliation","Nietert, Manuel Manfred; 1Department of Medical Bioinformatics, University Medical Center Göttingen, Goldschmidtstraße 1, 37077 Göttingen, Germany"],["dc.contributor.author","Voskamp, Malte"],["dc.contributor.author","Vinhoven, Liza"],["dc.contributor.author","Stanke, Frauke"],["dc.contributor.author","Hafkemeyer, Sylvia"],["dc.contributor.author","Nietert, Manuel Manfred"],["dc.contributor.editor","Song, Jiangning"],["dc.date.accessioned","2022-10-04T10:21:49Z"],["dc.date.available","2022-10-04T10:21:49Z"],["dc.date.issued","2022"],["dc.date.updated","2022-11-11T13:13:13Z"],["dc.description.abstract","An adequate visualization form is required to gain an overview and ultimately understand the complex and diverse biological mechanisms of diseases. Recently, disease maps have been introduced for this purpose. A disease map is defined as a systems biological map or model that combines metabolic, signaling, and physiological pathways to create a comprehensive overview of known disease mechanisms. With the increase in publications describing biological interactions, efforts in creating and curating comprehensive disease maps is growing accordingly. Therefore, new computational approaches are needed to reduce the time that manual curation takes. Test mining algorithms can be used to analyse the natural language of scientific publications. These types of algorithms can take humanly readable text passages and convert them into a more ordered, machine-usable data structure. To support the creation of disease maps by text mining, we developed an interactive, user-friendly disease map viewer. The disease map viewer displays text mining results in a systems biology map, where the user can review them and either validate or reject identified interactions. Ultimately, the viewer brings together the time-saving advantages of text mining with the accuracy of manual data curation."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2022"],["dc.identifier.doi","10.3390/biom12091278"],["dc.identifier.pii","biom12091278"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/114511"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-600"],["dc.publisher","MDPI"],["dc.relation.eissn","2218-273X"],["dc.rights","CC BY-SA 4.0"],["dc.title","Integrating Text Mining into the Curation of Disease Maps"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]