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Multimodal mechanistic signatures for neurodegenerative diseases (NeuroMMSig): a web server for mechanism enrichment

MOTIVATION: The concept of a ‘mechanism-based taxonomy of human disease’ is currently replacing the outdated paradigm of diseases classified by clinical appearance. We have tackled the paradigm of mechanism-based patient subgroup identification in the challenging area of research on neurodegenerativ...

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Detalles Bibliográficos
Autores principales: Domingo-Fernández, Daniel, Kodamullil, Alpha Tom, Iyappan, Anandhi, Naz, Mufassra, Emon, Mohammad Asif, Raschka, Tamara, Karki, Reagon, Springstubbe, Stephan, Ebeling, Christian, Hofmann-Apitius, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870765/
https://www.ncbi.nlm.nih.gov/pubmed/28651363
http://dx.doi.org/10.1093/bioinformatics/btx399
Descripción
Sumario:MOTIVATION: The concept of a ‘mechanism-based taxonomy of human disease’ is currently replacing the outdated paradigm of diseases classified by clinical appearance. We have tackled the paradigm of mechanism-based patient subgroup identification in the challenging area of research on neurodegenerative diseases. RESULTS: We have developed a knowledge base representing essential pathophysiology mechanisms of neurodegenerative diseases. Together with dedicated algorithms, this knowledge base forms the basis for a ‘mechanism-enrichment server’ that supports the mechanistic interpretation of multiscale, multimodal clinical data. AVAILABILITY AND IMPLEMENTATION: NeuroMMSig is available at http://neurommsig.scai.fraunhofer.de/ SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.