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INDRA-IPM: interactive pathway modeling using natural language with automated assembly
SUMMARY: INDRA-IPM (Interactive Pathway Map) is a web-based pathway map modeling tool that combines natural language processing with automated model assembly and visualization. INDRA-IPM contextualizes models with expression data and exports them to standard formats. AVAILABILITY AND IMPLEMENTATION:...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6821420/ https://www.ncbi.nlm.nih.gov/pubmed/31070726 http://dx.doi.org/10.1093/bioinformatics/btz289 |
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author | Todorov, Petar V Gyori, Benjamin M Bachman, John A Sorger, Peter K |
author_facet | Todorov, Petar V Gyori, Benjamin M Bachman, John A Sorger, Peter K |
author_sort | Todorov, Petar V |
collection | PubMed |
description | SUMMARY: INDRA-IPM (Interactive Pathway Map) is a web-based pathway map modeling tool that combines natural language processing with automated model assembly and visualization. INDRA-IPM contextualizes models with expression data and exports them to standard formats. AVAILABILITY AND IMPLEMENTATION: INDRA-IPM is available at: http://pathwaymap.indra.bio. Source code is available at http://github.com/sorgerlab/indra_pathway_map. The underlying web service API is available at http://api.indra.bio:8000. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-6821420 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-68214202019-11-04 INDRA-IPM: interactive pathway modeling using natural language with automated assembly Todorov, Petar V Gyori, Benjamin M Bachman, John A Sorger, Peter K Bioinformatics Applications Notes SUMMARY: INDRA-IPM (Interactive Pathway Map) is a web-based pathway map modeling tool that combines natural language processing with automated model assembly and visualization. INDRA-IPM contextualizes models with expression data and exports them to standard formats. AVAILABILITY AND IMPLEMENTATION: INDRA-IPM is available at: http://pathwaymap.indra.bio. Source code is available at http://github.com/sorgerlab/indra_pathway_map. The underlying web service API is available at http://api.indra.bio:8000. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2019-11-01 2019-05-09 /pmc/articles/PMC6821420/ /pubmed/31070726 http://dx.doi.org/10.1093/bioinformatics/btz289 Text en © The Author(s) 2019. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Todorov, Petar V Gyori, Benjamin M Bachman, John A Sorger, Peter K INDRA-IPM: interactive pathway modeling using natural language with automated assembly |
title | INDRA-IPM: interactive pathway modeling using natural language with automated assembly |
title_full | INDRA-IPM: interactive pathway modeling using natural language with automated assembly |
title_fullStr | INDRA-IPM: interactive pathway modeling using natural language with automated assembly |
title_full_unstemmed | INDRA-IPM: interactive pathway modeling using natural language with automated assembly |
title_short | INDRA-IPM: interactive pathway modeling using natural language with automated assembly |
title_sort | indra-ipm: interactive pathway modeling using natural language with automated assembly |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6821420/ https://www.ncbi.nlm.nih.gov/pubmed/31070726 http://dx.doi.org/10.1093/bioinformatics/btz289 |
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