Attie_DO378_eQTL_viewer_v1.Rdata is a compressed R binary file that contains several objects. genome.build: character string containing the mouse genome build. genoprobs: list (length = 20) containing 3 dimensional haplotype probabilities for all samples on each chromosome. One array per chromosome. K: list (length = 20) containing kinship matrices for all samples. Each kinship matrix was constructed using all chromosomes except the current chromosome. map: list (length = 20) containing the marker positions for each chromosome in Mb. markers: data.frame containing marker information. 68,433 rows by 5 columns. dataset.clinical.phenotypes: list containing the following objects. annots: data.frame (166 rows x 17 columns) containing phenotype annotation. covar: matrix (500 x 3) containing covariates used in QTL mapping. covar.factors: data.frame containing a list of the covariates used in QTL mapping. datatype: character string indicating that this is a phenotype data set. display.name: character string to display when mapping. lod.peaks: data.frame (676 rows x 5 columns) containing the QTL peaks with LOD > 6. pheno: data.frame (500 rows x 166 columns) containing the phenotypes used in QTL mapping. samples: data.frame (500 rows x 12 columns) containing the sample annotation. dataset.islet.hotspots: list containing the following objects. annots: data.frame (7 rows x 16 columns) containing phenotype annotation. covar: matrix (378 x 4) containing covariates used in QTL mapping. covar.factors: data.frame containing a list of the covariates used in QTL mapping. datatype: character string indicating that this is a phenotype data set. display.name: character string to display when mapping. lod.peaks: data.frame (13 rows x 5 columns) containing the QTL peaks with LOD > 6. pheno: matrix (378 rows x 7 columns) containing the phenotypes used in QTL mapping. samples: data.frame (378 rows x 7 columns) containing the sample annotation. dataset.islet.modules: list containing the following objects. annots: data.frame (43 rows x 16 columns) containing phenotype annotation. covar: matrix (378 x 4) containing covariates used in QTL mapping. covar.factors: data.frame containing a list of the covariates used in QTL mapping. datatype: character string indicating that this is a phenotype data set. display.name: character string to display when mapping. lod.peaks: data.frame (69 rows x 5 columns) containing the QTL peaks with LOD > 6. pheno: matrix (378 rows x 43 columns) containing the phenotypes used in QTL mapping. samples: data.frame (378 rows x 7 columns) containing the sample annotation. dataset.islet.rnaseq: list containing the following objects. annots: data.frame (21771 rows x 11 columns) containing the gene annotation. covar: matrix (378 rows x 4 columns) containing the covariates used in QTL mapping. covar.factors: data.frame containing a list of the covariates used in QTL mapping. datatype: character string indicating that this is RNA-seq data. display.name: character string to display when mapping. ensembl.version: number indicating the Ensembl build used to identify genes. expr: matrix (378 rows x 21771 columns) containing the normalized gene expression data. lod.peaks: data.frame (39268 rows x 5 columns) containing the QTL peaks with LOD > 6. raw: matrix (378 rows x 21771 columns) containing the unnormalized gene expression data. samples: data.frame (378 rows x 7 columns) containing the sample annotation.