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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,...

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Detalles Bibliográficos
Autores principales: Lee, Sunwon, Kim, Donghyeon, Lee, Kyubum, Choi, Jaehoon, Kim, Seongsoon, Jeon, Minji, Lim, Sangrak, Choi, Donghee, Kim, Sunkyu, Tan, Aik-Choon, Kang, Jaewoo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
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preprocess the PubMed corpus to speed up the response time; however, they are not constantly updated, and thus produce outdated results.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.
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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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