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BEST: Next-Generation Biomedical Entity Search Tool for Knowledge Discovery from Biomedical Literature
As the volume of publications rapidly increases, searching for relevant information from the literature becomes more challenging. To complement standard search engines such as PubMed, it is desirable to have an advanced search tool that directly returns relevant biomedical entities such as targets,...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5070740/ https://www.ncbi.nlm.nih.gov/pubmed/27760149 http://dx.doi.org/10.1371/journal.pone.0164680 |
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author | Lee, Sunwon Kim, Donghyeon Lee, Kyubum Choi, Jaehoon Kim, Seongsoon Jeon, Minji Lim, Sangrak Choi, Donghee Kim, Sunkyu Tan, Aik-Choon Kang, Jaewoo |
author_facet | Lee, Sunwon Kim, Donghyeon Lee, Kyubum Choi, Jaehoon Kim, Seongsoon Jeon, Minji Lim, Sangrak Choi, Donghee Kim, Sunkyu Tan, Aik-Choon Kang, Jaewoo |
author_sort | Lee, Sunwon |
collection | PubMed |
description | As the volume of publications rapidly increases, searching for relevant information from the literature becomes more challenging. To complement standard search engines such as PubMed, it is desirable to have an advanced search tool that directly returns relevant biomedical entities such as targets, drugs, and mutations rather than a long list of articles. Some existing tools submit a query to PubMed and process retrieved abstracts to extract information at query time, resulting in a slow response time and limited coverage of only a fraction of the PubMed corpus. Other tools preprocess the PubMed corpus to speed up the response time; however, they are not constantly updated, and thus produce outdated results. Further, most existing tools cannot process sophisticated queries such as searches for mutations that co-occur with query terms in the literature. To address these problems, we introduce BEST, a biomedical entity search tool. BEST returns, as a result, a list of 10 different types of biomedical entities including genes, diseases, drugs, targets, transcription factors, miRNAs, and mutations that are relevant to a user’s query. To the best of our knowledge, BEST is the only system that processes free text queries and returns up-to-date results in real time including mutation information in the results. BEST is freely accessible at http://best.korea.ac.kr. |
format | Online Article Text |
id | pubmed-5070740 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-50707402016-10-27 BEST: Next-Generation Biomedical Entity Search Tool for Knowledge Discovery from Biomedical Literature Lee, Sunwon Kim, Donghyeon Lee, Kyubum Choi, Jaehoon Kim, Seongsoon Jeon, Minji Lim, Sangrak Choi, Donghee Kim, Sunkyu Tan, Aik-Choon Kang, Jaewoo PLoS One Research Article As the volume of publications rapidly increases, searching for relevant information from the literature becomes more challenging. To complement standard search engines such as PubMed, it is desirable to have an advanced search tool that directly returns relevant biomedical entities such as targets, drugs, and mutations rather than a long list of articles. Some existing tools submit a query to PubMed and process retrieved abstracts to extract information at query time, resulting in a slow response time and limited coverage of only a fraction of the PubMed corpus. Other tools preprocess the PubMed corpus to speed up the response time; however, they are not constantly updated, and thus produce outdated results. Further, most existing tools cannot process sophisticated queries such as searches for mutations that co-occur with query terms in the literature. To address these problems, we introduce BEST, a biomedical entity search tool. BEST returns, as a result, a list of 10 different types of biomedical entities including genes, diseases, drugs, targets, transcription factors, miRNAs, and mutations that are relevant to a user’s query. To the best of our knowledge, BEST is the only system that processes free text queries and returns up-to-date results in real time including mutation information in the results. BEST is freely accessible at http://best.korea.ac.kr. Public Library of Science 2016-10-19 /pmc/articles/PMC5070740/ /pubmed/27760149 http://dx.doi.org/10.1371/journal.pone.0164680 Text en © 2016 Lee et al 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 use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Lee, Sunwon Kim, Donghyeon Lee, Kyubum Choi, Jaehoon Kim, Seongsoon Jeon, Minji Lim, Sangrak Choi, Donghee Kim, Sunkyu Tan, Aik-Choon Kang, Jaewoo BEST: Next-Generation Biomedical Entity Search Tool for Knowledge Discovery from Biomedical Literature |
title | BEST: Next-Generation Biomedical Entity Search Tool for Knowledge Discovery from Biomedical Literature |
title_full | BEST: Next-Generation Biomedical Entity Search Tool for Knowledge Discovery from Biomedical Literature |
title_fullStr | BEST: Next-Generation Biomedical Entity Search Tool for Knowledge Discovery from Biomedical Literature |
title_full_unstemmed | BEST: Next-Generation Biomedical Entity Search Tool for Knowledge Discovery from Biomedical Literature |
title_short | BEST: Next-Generation Biomedical Entity Search Tool for Knowledge Discovery from Biomedical Literature |
title_sort | best: next-generation biomedical entity search tool for knowledge discovery from biomedical literature |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5070740/ https://www.ncbi.nlm.nih.gov/pubmed/27760149 http://dx.doi.org/10.1371/journal.pone.0164680 |
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