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Rcupcake: an R package for querying and analyzing biomedical data through the BD2K PIC-SURE RESTful API
MOTIVATION: In the era of big data and precision medicine, the number of databases containing clinical, environmental, self-reported and biochemical variables is increasing exponentially. Enabling the experts to focus on their research questions rather than on computational data management, access a...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5905576/ https://www.ncbi.nlm.nih.gov/pubmed/29267850 http://dx.doi.org/10.1093/bioinformatics/btx788 |
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author | Gutiérrez-Sacristán, Alba Guedj, Romain Korodi, Gabor Stedman, Jason Furlong, Laura I Patel, Chirag J Kohane, Isaac S Avillach, Paul |
author_facet | Gutiérrez-Sacristán, Alba Guedj, Romain Korodi, Gabor Stedman, Jason Furlong, Laura I Patel, Chirag J Kohane, Isaac S Avillach, Paul |
author_sort | Gutiérrez-Sacristán, Alba |
collection | PubMed |
description | MOTIVATION: In the era of big data and precision medicine, the number of databases containing clinical, environmental, self-reported and biochemical variables is increasing exponentially. Enabling the experts to focus on their research questions rather than on computational data management, access and analysis is one of the most significant challenges nowadays. RESULTS: We present Rcupcake, an R package that contains a variety of functions for leveraging different databases through the BD2K PIC-SURE RESTful API and facilitating its query, analysis and interpretation. The package offers a variety of analysis and visualization tools, including the study of the phenotype co-occurrence and prevalence, according to multiple layers of data, such as phenome, exposome or genome. AVAILABILITY AND IMPLEMENTATION: The package is implemented in R and is available under Mozilla v2 license from GitHub (https://github.com/hms-dbmi/Rcupcake). Two reproducible case studies are also available (https://github.com/hms-dbmi/Rcupcake-case-studies/blob/master/SSCcaseStudy_v01.ipynb, https://github.com/hms-dbmi/Rcupcake-case-studies/blob/master/NHANEScaseStudy_v01.ipynb). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-5905576 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-59055762018-04-23 Rcupcake: an R package for querying and analyzing biomedical data through the BD2K PIC-SURE RESTful API Gutiérrez-Sacristán, Alba Guedj, Romain Korodi, Gabor Stedman, Jason Furlong, Laura I Patel, Chirag J Kohane, Isaac S Avillach, Paul Bioinformatics Applications Notes MOTIVATION: In the era of big data and precision medicine, the number of databases containing clinical, environmental, self-reported and biochemical variables is increasing exponentially. Enabling the experts to focus on their research questions rather than on computational data management, access and analysis is one of the most significant challenges nowadays. RESULTS: We present Rcupcake, an R package that contains a variety of functions for leveraging different databases through the BD2K PIC-SURE RESTful API and facilitating its query, analysis and interpretation. The package offers a variety of analysis and visualization tools, including the study of the phenotype co-occurrence and prevalence, according to multiple layers of data, such as phenome, exposome or genome. AVAILABILITY AND IMPLEMENTATION: The package is implemented in R and is available under Mozilla v2 license from GitHub (https://github.com/hms-dbmi/Rcupcake). Two reproducible case studies are also available (https://github.com/hms-dbmi/Rcupcake-case-studies/blob/master/SSCcaseStudy_v01.ipynb, https://github.com/hms-dbmi/Rcupcake-case-studies/blob/master/NHANEScaseStudy_v01.ipynb). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2018-04-15 2017-12-18 /pmc/articles/PMC5905576/ /pubmed/29267850 http://dx.doi.org/10.1093/bioinformatics/btx788 Text en © The Author 2017. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Applications Notes Gutiérrez-Sacristán, Alba Guedj, Romain Korodi, Gabor Stedman, Jason Furlong, Laura I Patel, Chirag J Kohane, Isaac S Avillach, Paul Rcupcake: an R package for querying and analyzing biomedical data through the BD2K PIC-SURE RESTful API |
title | Rcupcake: an R package for querying and analyzing biomedical data through the BD2K PIC-SURE RESTful API |
title_full | Rcupcake: an R package for querying and analyzing biomedical data through the BD2K PIC-SURE RESTful API |
title_fullStr | Rcupcake: an R package for querying and analyzing biomedical data through the BD2K PIC-SURE RESTful API |
title_full_unstemmed | Rcupcake: an R package for querying and analyzing biomedical data through the BD2K PIC-SURE RESTful API |
title_short | Rcupcake: an R package for querying and analyzing biomedical data through the BD2K PIC-SURE RESTful API |
title_sort | rcupcake: an r package for querying and analyzing biomedical data through the bd2k pic-sure restful api |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5905576/ https://www.ncbi.nlm.nih.gov/pubmed/29267850 http://dx.doi.org/10.1093/bioinformatics/btx788 |
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