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SciLite: a platform for displaying text-mined annotations as a means to link research articles with biological data
The tremendous growth in biological data has resulted in an increase in the number of research papers being published. This presents a great challenge for scientists in searching and assimilating facts described in those papers. Particularly, biological databases depend on curators to add highly pre...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000Research
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5527546/ https://www.ncbi.nlm.nih.gov/pubmed/28948232 http://dx.doi.org/10.12688/wellcomeopenres.10210.2 |
_version_ | 1783252969639116800 |
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author | Venkatesan, Aravind Kim, Jee-Hyub Talo, Francesco Ide-Smith, Michele Gobeill, Julien Carter, Jacob Batista-Navarro, Riza Ananiadou, Sophia Ruch, Patrick McEntyre, Johanna |
author_facet | Venkatesan, Aravind Kim, Jee-Hyub Talo, Francesco Ide-Smith, Michele Gobeill, Julien Carter, Jacob Batista-Navarro, Riza Ananiadou, Sophia Ruch, Patrick McEntyre, Johanna |
author_sort | Venkatesan, Aravind |
collection | PubMed |
description | The tremendous growth in biological data has resulted in an increase in the number of research papers being published. This presents a great challenge for scientists in searching and assimilating facts described in those papers. Particularly, biological databases depend on curators to add highly precise and useful information that are usually extracted by reading research articles. Therefore, there is an urgent need to find ways to improve linking literature to the underlying data, thereby minimising the effort in browsing content and identifying key biological concepts. As part of the development of Europe PMC, we have developed a new platform, SciLite, which integrates text-mined annotations from different sources and overlays those outputs on research articles. The aim is to aid researchers and curators using Europe PMC in finding key concepts more easily and provide links to related resources or tools, bridging the gap between literature and biological data. |
format | Online Article Text |
id | pubmed-5527546 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | F1000Research |
record_format | MEDLINE/PubMed |
spelling | pubmed-55275462017-09-25 SciLite: a platform for displaying text-mined annotations as a means to link research articles with biological data Venkatesan, Aravind Kim, Jee-Hyub Talo, Francesco Ide-Smith, Michele Gobeill, Julien Carter, Jacob Batista-Navarro, Riza Ananiadou, Sophia Ruch, Patrick McEntyre, Johanna Wellcome Open Res Software Tool Article The tremendous growth in biological data has resulted in an increase in the number of research papers being published. This presents a great challenge for scientists in searching and assimilating facts described in those papers. Particularly, biological databases depend on curators to add highly precise and useful information that are usually extracted by reading research articles. Therefore, there is an urgent need to find ways to improve linking literature to the underlying data, thereby minimising the effort in browsing content and identifying key biological concepts. As part of the development of Europe PMC, we have developed a new platform, SciLite, which integrates text-mined annotations from different sources and overlays those outputs on research articles. The aim is to aid researchers and curators using Europe PMC in finding key concepts more easily and provide links to related resources or tools, bridging the gap between literature and biological data. F1000Research 2017-07-10 /pmc/articles/PMC5527546/ /pubmed/28948232 http://dx.doi.org/10.12688/wellcomeopenres.10210.2 Text en Copyright: © 2017 Venkatesan A et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Tool Article Venkatesan, Aravind Kim, Jee-Hyub Talo, Francesco Ide-Smith, Michele Gobeill, Julien Carter, Jacob Batista-Navarro, Riza Ananiadou, Sophia Ruch, Patrick McEntyre, Johanna SciLite: a platform for displaying text-mined annotations as a means to link research articles with biological data |
title | SciLite: a platform for displaying text-mined annotations as a means to link research articles with biological data |
title_full | SciLite: a platform for displaying text-mined annotations as a means to link research articles with biological data |
title_fullStr | SciLite: a platform for displaying text-mined annotations as a means to link research articles with biological data |
title_full_unstemmed | SciLite: a platform for displaying text-mined annotations as a means to link research articles with biological data |
title_short | SciLite: a platform for displaying text-mined annotations as a means to link research articles with biological data |
title_sort | scilite: a platform for displaying text-mined annotations as a means to link research articles with biological data |
topic | Software Tool Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5527546/ https://www.ncbi.nlm.nih.gov/pubmed/28948232 http://dx.doi.org/10.12688/wellcomeopenres.10210.2 |
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