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GeneDive: A gene interaction search and visualization tool to facilitate precision medicine

Obtaining relevant information about gene interactions is critical for understanding disease processes and treatment. With the rise in text mining approaches, the volume of such biomedical data is rapidly increasing, thereby creating a new problem for the users of this data: information overload. A...

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Detalles Bibliográficos
Autores principales: Previde, Paul, Thomas, Brook, Wong, Mike, Mallory, Emily K, Petkovic, Dragutin, Altman, Russ B, Kulkarni, Anagha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5807065/
https://www.ncbi.nlm.nih.gov/pubmed/29218917
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author Previde, Paul
Thomas, Brook
Wong, Mike
Mallory, Emily K
Petkovic, Dragutin
Altman, Russ B
Kulkarni, Anagha
author_facet Previde, Paul
Thomas, Brook
Wong, Mike
Mallory, Emily K
Petkovic, Dragutin
Altman, Russ B
Kulkarni, Anagha
author_sort Previde, Paul
collection PubMed
description Obtaining relevant information about gene interactions is critical for understanding disease processes and treatment. With the rise in text mining approaches, the volume of such biomedical data is rapidly increasing, thereby creating a new problem for the users of this data: information overload. A tool for efficient querying and visualization of biomedical data that helps researchers understand the underlying biological mechanisms for diseases and drug responses, and ultimately helps patients, is sorely needed. To this end we have developed GeneDive, a web-based information retrieval, filtering, and visualization tool for large volumes of gene interaction data. GeneDive offers various features and modalities that guide the user through the search process to efficiently reach the information of their interest. GeneDive currently processes over three million gene-gene interactions with response times within a few seconds. For over half of the curated gene sets sourced from four prominent databases, more than 80% of the gene set members are recovered by GeneDive. In the near future, GeneDive will seamlessly accommodate other interaction types, such as gene-drug and gene-disease interactions, thus enabling full exploration of topics such as precision medicine. The GeneDive application and information about its underlying system architecture are available at http://www.genedive.net.
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spelling pubmed-58070652018-02-09 GeneDive: A gene interaction search and visualization tool to facilitate precision medicine Previde, Paul Thomas, Brook Wong, Mike Mallory, Emily K Petkovic, Dragutin Altman, Russ B Kulkarni, Anagha Pac Symp Biocomput Article Obtaining relevant information about gene interactions is critical for understanding disease processes and treatment. With the rise in text mining approaches, the volume of such biomedical data is rapidly increasing, thereby creating a new problem for the users of this data: information overload. A tool for efficient querying and visualization of biomedical data that helps researchers understand the underlying biological mechanisms for diseases and drug responses, and ultimately helps patients, is sorely needed. To this end we have developed GeneDive, a web-based information retrieval, filtering, and visualization tool for large volumes of gene interaction data. GeneDive offers various features and modalities that guide the user through the search process to efficiently reach the information of their interest. GeneDive currently processes over three million gene-gene interactions with response times within a few seconds. For over half of the curated gene sets sourced from four prominent databases, more than 80% of the gene set members are recovered by GeneDive. In the near future, GeneDive will seamlessly accommodate other interaction types, such as gene-drug and gene-disease interactions, thus enabling full exploration of topics such as precision medicine. The GeneDive application and information about its underlying system architecture are available at http://www.genedive.net. 2018 /pmc/articles/PMC5807065/ /pubmed/29218917 Text en Open Access chapter published by World Scientific Publishing Company and distributed under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by-nc-nd/4.0/) Non-Commercial (CC BY-NC) 4.0 License.
spellingShingle Article
Previde, Paul
Thomas, Brook
Wong, Mike
Mallory, Emily K
Petkovic, Dragutin
Altman, Russ B
Kulkarni, Anagha
GeneDive: A gene interaction search and visualization tool to facilitate precision medicine
title GeneDive: A gene interaction search and visualization tool to facilitate precision medicine
title_full GeneDive: A gene interaction search and visualization tool to facilitate precision medicine
title_fullStr GeneDive: A gene interaction search and visualization tool to facilitate precision medicine
title_full_unstemmed GeneDive: A gene interaction search and visualization tool to facilitate precision medicine
title_short GeneDive: A gene interaction search and visualization tool to facilitate precision medicine
title_sort genedive: a gene interaction search and visualization tool to facilitate precision medicine
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5807065/
https://www.ncbi.nlm.nih.gov/pubmed/29218917
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