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Bio-TDS: bioscience query tool discovery system
Bioinformatics and computational biology play a critical role in bioscience and biomedical research. As researchers design their experimental projects, one major challenge is to find the most relevant bioinformatics toolkits that will lead to new knowledge discovery from their data. The Bio-TDS (Bio...
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/PMC5210639/ https://www.ncbi.nlm.nih.gov/pubmed/27924016 http://dx.doi.org/10.1093/nar/gkw940 |
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author | Gnimpieba, Etienne Z VanDiermen, Menno S Gustafson, Shayla M Conn, Bill Lushbough, Carol M |
author_facet | Gnimpieba, Etienne Z VanDiermen, Menno S Gustafson, Shayla M Conn, Bill Lushbough, Carol M |
author_sort | Gnimpieba, Etienne Z |
collection | PubMed |
description | Bioinformatics and computational biology play a critical role in bioscience and biomedical research. As researchers design their experimental projects, one major challenge is to find the most relevant bioinformatics toolkits that will lead to new knowledge discovery from their data. The Bio-TDS (Bioscience Query Tool Discovery Systems, http://biotds.org/) has been developed to assist researchers in retrieving the most applicable analytic tools by allowing them to formulate their questions as free text. The Bio-TDS is a flexible retrieval system that affords users from multiple bioscience domains (e.g. genomic, proteomic, bio-imaging) the ability to query over 15 000 analytic tool descriptions integrated from well-established, community repositories. One of the primary components of the Bio-TDS is the ontology and natural language processing workflow for annotation, curation, query processing, and evaluation. The Bio-TDS’s scientific impact was evaluated using sample questions posed by researchers retrieved from Biostars, a site focusing on biological data analysis. The Bio-TDS was compared to five similar bioscience analytic tool retrieval systems with the Bio-TDS outperforming the others in terms of relevance and completeness. The Bio-TDS offers researchers the capacity to associate their bioscience question with the most relevant computational toolsets required for the data analysis in their knowledge discovery process. |
format | Online Article Text |
id | pubmed-5210639 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-52106392017-01-05 Bio-TDS: bioscience query tool discovery system Gnimpieba, Etienne Z VanDiermen, Menno S Gustafson, Shayla M Conn, Bill Lushbough, Carol M Nucleic Acids Res Database Issue Bioinformatics and computational biology play a critical role in bioscience and biomedical research. As researchers design their experimental projects, one major challenge is to find the most relevant bioinformatics toolkits that will lead to new knowledge discovery from their data. The Bio-TDS (Bioscience Query Tool Discovery Systems, http://biotds.org/) has been developed to assist researchers in retrieving the most applicable analytic tools by allowing them to formulate their questions as free text. The Bio-TDS is a flexible retrieval system that affords users from multiple bioscience domains (e.g. genomic, proteomic, bio-imaging) the ability to query over 15 000 analytic tool descriptions integrated from well-established, community repositories. One of the primary components of the Bio-TDS is the ontology and natural language processing workflow for annotation, curation, query processing, and evaluation. The Bio-TDS’s scientific impact was evaluated using sample questions posed by researchers retrieved from Biostars, a site focusing on biological data analysis. The Bio-TDS was compared to five similar bioscience analytic tool retrieval systems with the Bio-TDS outperforming the others in terms of relevance and completeness. The Bio-TDS offers researchers the capacity to associate their bioscience question with the most relevant computational toolsets required for the data analysis in their knowledge discovery process. Oxford University Press 2017-01-04 2016-10-18 /pmc/articles/PMC5210639/ /pubmed/27924016 http://dx.doi.org/10.1093/nar/gkw940 Text en © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research. 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 | Database Issue Gnimpieba, Etienne Z VanDiermen, Menno S Gustafson, Shayla M Conn, Bill Lushbough, Carol M Bio-TDS: bioscience query tool discovery system |
title | Bio-TDS: bioscience query tool discovery system |
title_full | Bio-TDS: bioscience query tool discovery system |
title_fullStr | Bio-TDS: bioscience query tool discovery system |
title_full_unstemmed | Bio-TDS: bioscience query tool discovery system |
title_short | Bio-TDS: bioscience query tool discovery system |
title_sort | bio-tds: bioscience query tool discovery system |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5210639/ https://www.ncbi.nlm.nih.gov/pubmed/27924016 http://dx.doi.org/10.1093/nar/gkw940 |
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