rexposome
rexposome is a comprehensive bioinformatics tool designed to address the challenge of studying the exposome, which encompasses the cumulative impact of exposures experienced throughout an individual's life and contributes to human health. While genomics has significantly advanced our understanding of certain diseases, there is a growing recognition of the importance of environmental exposures in disease etiology.
In response to the need for tools to manage, visualize, and analyze high-dimensional exposome data, rexposome offers a generic framework within the R/Bioconductor architecture. It provides object-oriented classes and methods to facilitate the exploration of exposome data in disease association studies, integrating it with various high-throughput data types, including omic layers. The package's utility is demonstrated by analyzing a real dataset that includes exposome data, health outcomes related to respiratory diseases, and integration with transcriptome and methylome data.
Topic
Biomedical science
Detail
Operation: Data handling
Software interface: Library
Language: R
License: The MIT License
Cost: Free
Version name: 1.24.1
Credit: The Spanish Ministry of Economy and Competitiveness, the European Community’s Seventh Framework Programme.
Input: -
Output: -
Contact: Carles Hernandez-Ferrer carles.hernandez@isglobal.org ,Xavier Escribà Montagut xavier.escriba@isglobal.org ,Juan R Gonzalez juanr.gonzalez@isglobal.org
Collection: -
Maturity: Stable
Publications
- Comprehensive study of the exposome and omic data using rexposome Bioconductor Packages.
- Hernandez-Ferrer C, et al. Comprehensive study of the exposome and omic data using rexposome Bioconductor Packages. Comprehensive study of the exposome and omic data using rexposome Bioconductor Packages. 2019; 35:5344-5345. doi: 10.1093/bioinformatics/btz526
- https://doi.org/10.1093/bioinformatics/btz526
- PMID: 31243429
- PMC: -
Download and documentation
Source: https://bioconductor.org/packages/release/bioc/src/contrib/rexposome_1.24.1.tar.gz
Documentation: https://bioconductor.org/packages/release/bioc/manuals/rexposome/man/rexposome.pdf
Home page: http://bioconductor.org/packages/release/bioc/html/rexposome.html
Links: https://bioconductor.org/packages/release/bioc/vignettes/rexposome/inst/doc/exposome_data_analysis.R
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