Year: 2017

This package was built when I was working at Xavier Estivill’s lab at Center for Genomic Regulation and it is written in collaboration with Victor Moreno and his colleagues. The R package SNPassoc contains classes and methods to help the analysis of whole genome association studies. SNPassoc utilizes S4 classes and extends haplo.stats R package to facilitate haplotype analyses. The package is useful to carry out most common analysis when performing whole genome association studies. These analyses include descriptive statistics and exploratory analysis of missing values, calculation of Hardy-Weinberg equilibrium, analysis of association based on generalized linear models (either for quantitative or binary traits), and analysis of multiple SNPs (haplotype and epistasis analysis). Permutation and related tests (sum statistic and truncated product) are also implemented. The package is available from…

The *Comparative Toxicogenomics Database* is a public resource for toxicogenomic information manually curated from the peer-reviewed scientific literature about chemicals, gene and health outcomes interactions. It includes more than 30.5 million toxicogenomic connections. The `CTDquerier` package allows to retrieve CTD data into R environment to be used in CRNA or Bioconductor downstream analysis. The package can be bound at **GitHub**: * **GitHub**: [`CTDquerier`](https://github.com/isglobal-brge/CTDquerier) We have submitted an article about `CTDquerier` (sent: July 4th, 201): > **Carles Hernandez-Ferrer, Juan R. Gonzalez; CTDquerier: a tool for enrichment analysis in genetic and toxicological studies using CTD; Bioinformatics*

This R package is built to extend the capabilities of the R package rexposome and to allow to find exposome molecular signatures. This is archived by implementing a limma wrapper that works with ExposomeSet objects. This is a work of the PhD project of Carles Hernandez-Ferrer. The package can be found at GitHub and at Bioconductor: GitHub: omicRexposome Bioconductor: omicRexposome We are writing an article about the exposome pipeline analysis, which is joint with rexposome package: Carles Hernandez-Ferrer, ... Juan R. Gonzalez; Comprehensive analysis of the exposome, exposomehealth associations and omics intermediates; XXXXXX

This is a joint work with Benjamin Rodriguez-Santiago (qGenomics) and Luis Pérez-Jurado (UPF). MAD is a software tool to detect mosaic events from SNP arrays using BAF and LRR values. The algorithm is based on a segmentation procedure which uses the main features of GADA (and R package to detect CNVs). To install MAD, start R and enter: [generic] source("http://www.creal.cat/media/upload/arxius/jr/CREAL_install/install.R") creal.install("mad") [/generic] The methodological paper has been accepted in BMC Bioinformatics and can be found here. An example about how to use the software is described in the vignette. The algorithm has been used to discover mosaic alterations in a large collaborative study: > *Jacobs KB, Yeager M, Zhou W, ... Gonzalez JR, ... Rothman N, Pérez-Jurado LA, Chanock SJ. Detectable clonal mosaicism and its relationship to aging and cancer.…

`inveRsion` is an R package for the detection of genetic inversions using SNP-array data. This is a joint collaboration with Alejandro Caceres (ISGlobal) and Suzanne Sindi (Center for Computational Molecular Biology, Brown University). `inveRsion` is available at Bioconductor, and a manuscript is published at BMC Bioinformatics: > *Cáceres A, Sindi SS, Raphael BJ, Cáceres M, González JR. Identification of polymorphic inversions from genotypes. BMC Bioinformatics. 2012 Feb 9;13:28.* Our aim is to use SNP-array data of large cohorts, for which phenotype information has been collected, to assess the association of inversions with disease. We also intent to use the tool to assist in the mapping of human inversions; a project headed by Mario Caceres (Universitat Autonoma de Barcelona). * **Bioconductor**: [`inveRsion`](http://bioconductor.org/packages/release/bioc/html/inveRsion.html)

`tweeDEseq` is an R package for analyzing RNAseq count data. It implements Poisson-Tweedie family of distributions to model count data distribution. This family includes Poisson and Negative Bionomial as particular cases. The testPT test is used to detect genes that are deferentially expressed (DE). The methods are described in the manuscript published at BMC Bioinformatics: > *Esnaola M, Puig P, Gonzalez D, Castelo R, Gonzalez JR. A flexible count data model to fit the wide diversity of expression profiles arising from extensively replicated RNA-seq experiments. BMC Bioinformatics 2013, 14:254.* The manuscript illustrates the performance of our proposed method using a real RNA-seq data set comprising 69 Nigerian. We have created an experimental data pacakge (tweeDEseqCountData) that is available at Bioconductor. `tweeDEseq` is available from Bioconductor: * **Bioconductor**: [`tweeDEseq`](http://bioconductor.org/packages/release/bioc/html/tweeDEseq.html)