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PhenDisco: phenotype discovery system for the database of genotypes and phenotypes
The database of genotypes and phenotypes (dbGaP) developed by the National Center for Biotechnology Information (NCBI) is a resource that contains information on various genome-wide association studies (GWAS) and is currently available via NCBI's dbGaP Entrez interface. The database is an impor...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3912702/ https://www.ncbi.nlm.nih.gov/pubmed/23989082 http://dx.doi.org/10.1136/amiajnl-2013-001882 |
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author | Doan, Son Lin, Ko-Wei Conway, Mike Ohno-Machado, Lucila Hsieh, Alex Feupe, Stephanie Feudjio Garland, Asher Ross, Mindy K Jiang, Xiaoqian Farzaneh, Seena Walker, Rebecca Alipanah, Neda Zhang, Jing Xu, Hua Kim, Hyeon-Eui |
author_facet | Doan, Son Lin, Ko-Wei Conway, Mike Ohno-Machado, Lucila Hsieh, Alex Feupe, Stephanie Feudjio Garland, Asher Ross, Mindy K Jiang, Xiaoqian Farzaneh, Seena Walker, Rebecca Alipanah, Neda Zhang, Jing Xu, Hua Kim, Hyeon-Eui |
author_sort | Doan, Son |
collection | PubMed |
description | The database of genotypes and phenotypes (dbGaP) developed by the National Center for Biotechnology Information (NCBI) is a resource that contains information on various genome-wide association studies (GWAS) and is currently available via NCBI's dbGaP Entrez interface. The database is an important resource, providing GWAS data that can be used for new exploratory research or cross-study validation by authorized users. However, finding studies relevant to a particular phenotype of interest is challenging, as phenotype information is presented in a non-standardized way. To address this issue, we developed PhenDisco (phenotype discoverer), a new information retrieval system for dbGaP. PhenDisco consists of two main components: (1) text processing tools that standardize phenotype variables and study metadata, and (2) information retrieval tools that support queries from users and return ranked results. In a preliminary comparison involving 18 search scenarios, PhenDisco showed promising performance for both unranked and ranked search comparisons with dbGaP's search engine Entrez. The system can be accessed at http://pfindr.net. |
format | Online Article Text |
id | pubmed-3912702 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-39127022014-02-04 PhenDisco: phenotype discovery system for the database of genotypes and phenotypes Doan, Son Lin, Ko-Wei Conway, Mike Ohno-Machado, Lucila Hsieh, Alex Feupe, Stephanie Feudjio Garland, Asher Ross, Mindy K Jiang, Xiaoqian Farzaneh, Seena Walker, Rebecca Alipanah, Neda Zhang, Jing Xu, Hua Kim, Hyeon-Eui J Am Med Inform Assoc Brief Communication The database of genotypes and phenotypes (dbGaP) developed by the National Center for Biotechnology Information (NCBI) is a resource that contains information on various genome-wide association studies (GWAS) and is currently available via NCBI's dbGaP Entrez interface. The database is an important resource, providing GWAS data that can be used for new exploratory research or cross-study validation by authorized users. However, finding studies relevant to a particular phenotype of interest is challenging, as phenotype information is presented in a non-standardized way. To address this issue, we developed PhenDisco (phenotype discoverer), a new information retrieval system for dbGaP. PhenDisco consists of two main components: (1) text processing tools that standardize phenotype variables and study metadata, and (2) information retrieval tools that support queries from users and return ranked results. In a preliminary comparison involving 18 search scenarios, PhenDisco showed promising performance for both unranked and ranked search comparisons with dbGaP's search engine Entrez. The system can be accessed at http://pfindr.net. BMJ Publishing Group 2014-01 2013-08-29 /pmc/articles/PMC3912702/ /pubmed/23989082 http://dx.doi.org/10.1136/amiajnl-2013-001882 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 3.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/3.0/ |
spellingShingle | Brief Communication Doan, Son Lin, Ko-Wei Conway, Mike Ohno-Machado, Lucila Hsieh, Alex Feupe, Stephanie Feudjio Garland, Asher Ross, Mindy K Jiang, Xiaoqian Farzaneh, Seena Walker, Rebecca Alipanah, Neda Zhang, Jing Xu, Hua Kim, Hyeon-Eui PhenDisco: phenotype discovery system for the database of genotypes and phenotypes |
title | PhenDisco: phenotype discovery system for the database of genotypes and phenotypes |
title_full | PhenDisco: phenotype discovery system for the database of genotypes and phenotypes |
title_fullStr | PhenDisco: phenotype discovery system for the database of genotypes and phenotypes |
title_full_unstemmed | PhenDisco: phenotype discovery system for the database of genotypes and phenotypes |
title_short | PhenDisco: phenotype discovery system for the database of genotypes and phenotypes |
title_sort | phendisco: phenotype discovery system for the database of genotypes and phenotypes |
topic | Brief Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3912702/ https://www.ncbi.nlm.nih.gov/pubmed/23989082 http://dx.doi.org/10.1136/amiajnl-2013-001882 |
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