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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MOTIVATION: The concept of a ‘mechanism-based taxonomy of human disease’ is currently replacing the outdated paradigm of diseases classified by clinical appearance.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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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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 |
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author | Domingo-Fernández, Daniel Kodamullil, Alpha Tom Iyappan, Anandhi Naz, Mufassra Emon, Mohammad Asif Raschka, Tamara Karki, Reagon Springstubbe, Stephan Ebeling, Christian Hofmann-Apitius, Martin |
author_facet | Domingo-Fernández, Daniel Kodamullil, Alpha Tom Iyappan, Anandhi Naz, Mufassra Emon, Mohammad Asif Raschka, Tamara Karki, Reagon Springstubbe, Stephan Ebeling, Christian Hofmann-Apitius, Martin |
author_sort | Domingo-Fernández, Daniel |
collection | PubMed |
description | MOTIVATION: The concept of a ‘mechanism-based taxonomy of human disease’ is currently replacing the outdated paradigm of diseases classified by clinical appearance.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. |
format | Online Article Text |
id | pubmed-5870765 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-58707652018-03-29 Multimodal mechanistic signatures for neurodegenerative diseases (NeuroMMSig): a web server for mechanism enrichment Domingo-Fernández, Daniel Kodamullil, Alpha Tom Iyappan, Anandhi Naz, Mufassra Emon, Mohammad Asif Raschka, Tamara Karki, Reagon Springstubbe, Stephan Ebeling, Christian Hofmann-Apitius, Martin Bioinformatics Applications Notes 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. Oxford University Press 2017-11-15 2017-06-23 /pmc/articles/PMC5870765/ /pubmed/28651363 http://dx.doi.org/10.1093/bioinformatics/btx399 Text en © The Author 2017. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Applications Notes Domingo-Fernández, Daniel Kodamullil, Alpha Tom Iyappan, Anandhi Naz, Mufassra Emon, Mohammad Asif Raschka, Tamara Karki, Reagon Springstubbe, Stephan Ebeling, Christian Hofmann-Apitius, Martin Multimodal mechanistic signatures for neurodegenerative diseases (NeuroMMSig): a web server for mechanism enrichment |
title | Multimodal mechanistic signatures for neurodegenerative diseases (NeuroMMSig): a web server for mechanism enrichment |
title_full | Multimodal mechanistic signatures for neurodegenerative diseases (NeuroMMSig): a web server for mechanism enrichment |
title_fullStr | Multimodal mechanistic signatures for neurodegenerative diseases (NeuroMMSig): a web server for mechanism enrichment |
title_full_unstemmed | Multimodal mechanistic signatures for neurodegenerative diseases (NeuroMMSig): a web server for mechanism enrichment |
title_short | Multimodal mechanistic signatures for neurodegenerative diseases (NeuroMMSig): a web server for mechanism enrichment |
title_sort | multimodal mechanistic signatures for neurodegenerative diseases (neurommsig): a web server for mechanism enrichment |
topic | Applications Notes |
url | 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 |
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