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BIONDA: a free database for a fast information on published biomarkers
SUMMARY: Because of the steadily increasing and already manually unmanageable total number of biomarker-related articles in biomedical research, there is a need for intelligent systems that extract all relevant information from biomedical texts and provide it as structured information to researchers...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710600/ https://www.ncbi.nlm.nih.gov/pubmed/36700097 http://dx.doi.org/10.1093/bioadv/vbab015 |
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author | Turewicz, Michael Frericks-Zipper, Anika Stepath, Markus Schork, Karin Ramesh, Spoorti Marcus, Katrin Eisenacher, Martin |
author_facet | Turewicz, Michael Frericks-Zipper, Anika Stepath, Markus Schork, Karin Ramesh, Spoorti Marcus, Katrin Eisenacher, Martin |
author_sort | Turewicz, Michael |
collection | PubMed |
description | SUMMARY: Because of the steadily increasing and already manually unmanageable total number of biomarker-related articles in biomedical research, there is a need for intelligent systems that extract all relevant information from biomedical texts and provide it as structured information to researchers in a user-friendly way. To address this, BIONDA was implemented as a free text mining-based online database for molecular biomarkers including genes, proteins and miRNAs and for all kinds of diseases. The contained structured information on published biomarkers is extracted automatically from Europe PMC publication abstracts and high-quality sources like UniProt and Disease Ontology. This allows frequent content updates. AVAILABILITY AND IMPLEMENTATION: BIONDA is freely accessible via a user-friendly web application at http://bionda.mpc.ruhr-uni-bochum.de. The current BIONDA code is available at GitHub via https://github.com/mpc-bioinformatics/bionda. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics Advances online. |
format | Online Article Text |
id | pubmed-9710600 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-97106002023-01-24 BIONDA: a free database for a fast information on published biomarkers Turewicz, Michael Frericks-Zipper, Anika Stepath, Markus Schork, Karin Ramesh, Spoorti Marcus, Katrin Eisenacher, Martin Bioinform Adv Application Note SUMMARY: Because of the steadily increasing and already manually unmanageable total number of biomarker-related articles in biomedical research, there is a need for intelligent systems that extract all relevant information from biomedical texts and provide it as structured information to researchers in a user-friendly way. To address this, BIONDA was implemented as a free text mining-based online database for molecular biomarkers including genes, proteins and miRNAs and for all kinds of diseases. The contained structured information on published biomarkers is extracted automatically from Europe PMC publication abstracts and high-quality sources like UniProt and Disease Ontology. This allows frequent content updates. AVAILABILITY AND IMPLEMENTATION: BIONDA is freely accessible via a user-friendly web application at http://bionda.mpc.ruhr-uni-bochum.de. The current BIONDA code is available at GitHub via https://github.com/mpc-bioinformatics/bionda. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics Advances online. Oxford University Press 2021-08-18 /pmc/articles/PMC9710600/ /pubmed/36700097 http://dx.doi.org/10.1093/bioadv/vbab015 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Application Note Turewicz, Michael Frericks-Zipper, Anika Stepath, Markus Schork, Karin Ramesh, Spoorti Marcus, Katrin Eisenacher, Martin BIONDA: a free database for a fast information on published biomarkers |
title | BIONDA: a free database for a fast information on published biomarkers |
title_full | BIONDA: a free database for a fast information on published biomarkers |
title_fullStr | BIONDA: a free database for a fast information on published biomarkers |
title_full_unstemmed | BIONDA: a free database for a fast information on published biomarkers |
title_short | BIONDA: a free database for a fast information on published biomarkers |
title_sort | bionda: a free database for a fast information on published biomarkers |
topic | Application Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710600/ https://www.ncbi.nlm.nih.gov/pubmed/36700097 http://dx.doi.org/10.1093/bioadv/vbab015 |
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