| Title: | Example data for MEDIPS and QSEA packages |
|---|---|
| Description: | Example data for MEDIPS and QSEA packages, consisting of chromosome 22 MeDIP and control/Input sample data. Additionally, the package contains MeDIP seq data from 3 NSCLC samples and adjacent normal tissue (chr 20-22). All data has been aligned to human genome hg19. |
| Authors: | Lukas Chavez |
| Maintainer: | Lukas Chavez <[email protected]> |
| License: | GPL (>= 2) |
| Version: | 1.49.0 |
| Built: | 2026-10-10 10:32:39 UTC |
| Source: | https://github.com/bioc/MEDIPSData |
This is a list of GRange objects, which contain genomic annotations for hg19 reference, obtained from UCSC table browser.
data(annotation)data(annotation)
## Not run: data(annotation) library(GenomicRanges) names(ROIs) ROIs$'gene body' names(tfbs) ## End(Not run)## Not run: data(annotation) library(GenomicRanges) names(ROIs) ROIs$'gene body' names(tfbs) ## End(Not run)
This is a CpG coupling set generated by the MEDIPS package based on the human chromosome 22 (hg19) and with a window size of 100bp.
data(CS)data(CS)
## Not run: data(CS) library(MEDIPS) CS ## End(Not run)## Not run: data(CS) library(MEDIPS) CS ## End(Not run)
This is a MEDIPS SET object created from Input-seq control data derived from definitive endoderm as presented by Chavez et al. 2010. The parameter settings are: BSgenome= "BSgenome.Hsapiens.UCSC.hg19" extend= 300 shift= 0 uniq= T ws= 100 chr.select= "chr22"
data(DE_Input)data(DE_Input)
Chavez, L., Jozefczuk, J., Grimm, C., Dietrich, J., Timmermann, B., Herwig, R., Adjaye, J. (2010): Computational analysis of genome-wide DNA methylation during the differentiation of human embryonic stem cells along the endodermal lineage, Genome Research. 20(10):1441-50
## Not run: data(DE_Input) library(MEDIPS) DE_Input ## End(Not run)## Not run: data(DE_Input) library(MEDIPS) DE_Input ## End(Not run)
This is a concatenated set of three MEDIPS SET objects created from MeDIP-seq data derived from definitive endoderm as presented by Chavez et al. 2010. The parameter settings are: BSgenome= "BSgenome.Hsapiens.UCSC.hg19" extend= 300 shift= 0 uniq= T ws= 100 chr.select= "chr22"
data(DE_MeDIP)data(DE_MeDIP)
Chavez, L., Jozefczuk, J., Grimm, C., Dietrich, J., Timmermann, B., Herwig, R., Adjaye, J. (2010): Computational analysis of genome-wide DNA methylation during the differentiation of human embryonic stem cells along the endodermal lineage, Genome Research. 20(10):1441-50
## Not run: data(DE_MeDIP) library(MEDIPS) DE_MeDIP ## End(Not run)## Not run: data(DE_MeDIP) library(MEDIPS) DE_MeDIP ## End(Not run)
This is a MEDIPS SET object created from Input-seq control data derived from human embryonic stem cells as presented by Chavez et al. 2010. The parameter settings are: BSgenome= "BSgenome.Hsapiens.UCSC.hg19" extend= 300 shift= 0 uniq= T ws= 100 chr.select= "chr22"
data(hESCs_Input)data(hESCs_Input)
Chavez, L., Jozefczuk, J., Grimm, C., Dietrich, J., Timmermann, B., Herwig, R., Adjaye, J. (2010): Computational analysis of genome-wide DNA methylation during the differentiation of human embryonic stem cells along the endodermal lineage, Genome Research. 20(10):1441-50
## Not run: data(hESCs_Input) library(MEDIPS) hESCs_Input ## End(Not run)## Not run: data(hESCs_Input) library(MEDIPS) hESCs_Input ## End(Not run)
This is a concatenated set of three MEDIPS SET objects created from MeDIP-seq data derived from human embryonic stem cells as presented by Chavez et al. 2010. The parameter settings are: BSgenome= "BSgenome.Hsapiens.UCSC.hg19" extend= 300 shift= 0 uniq= T ws= 100 chr.select= "chr22"
data(hESCs_MeDIP)data(hESCs_MeDIP)
Chavez, L., Jozefczuk, J., Grimm, C., Dietrich, J., Timmermann, B., Herwig, R., Adjaye, J. (2010): Computational analysis of genome-wide DNA methylation during the differentiation of human embryonic stem cells along the endodermal lineage, Genome Research. 20(10):1441-50
## Not run: data(hESCs_MeDIP) library(MEDIPS) hESCs_MeDIP ## End(Not run)## Not run: data(hESCs_MeDIP) library(MEDIPS) hESCs_MeDIP ## End(Not run)
This is an annotation object generated by accessing biomaRt using the MEDIPS.getAnnotation function of the MEDIPS package: mart_gene = MEDIPS.getAnnotation(mart="ensembl", dataset=c("hsapiens_gene_ensembl"), annotation=c("GENE"), chr=22) The annotation object contains genomic coordinates of human genes on chromosome 22.
data(mart_gene)data(mart_gene)
## Not run: data(mart_gene) data(resultTable) library(MEDIPS) resultTable = MEDIPS.setAnnotation(regions=resultTable, annotation=mart_gene) ## End(Not run)## Not run: data(mart_gene) data(resultTable) library(MEDIPS) resultTable = MEDIPS.setAnnotation(regions=resultTable, annotation=mart_gene) ## End(Not run)
This is a qsea set object 'qseaSet' and a qsa glm object 'qseaGLM' qseaSet contains MeDIP seq data from NSCLC samples and adjacent normal. qseaGLM contains test statistics for the comparison of tumor and normal samples.
data(annotation)data(annotation)
## Not run: data(NSCLC_dataset) library(qsea) qseaSet qseaGLM ## End(Not run)## Not run: data(NSCLC_dataset) library(qsea) qseaSet qseaGLM ## End(Not run)
This is a result table as returned by the MEDIPS.meth function using the following command: mr.edgeR = MEDIPS.meth(MSet1=hESCs, MSet2=DE, CSet=CS, ISet1=hESCs.Input, ISet2=DE.Input, p.adj="bonferroni", diff.method="edgeR", prob.method="poisson", CNV=F, MeDIP=T) where hESCs, DE, and CS are data objects included in this data package.
data(resultTable)data(resultTable)
## Not run: data(resultTable) library(MEDIPS) mr.edgeR.s = MEDIPS.selectSig(results=mr.edgeR, p.value=0.05, adj=T, ratio=NULL, bg.counts=NULL, CNV=F) mr.edgeR.s ## End(Not run)## Not run: data(resultTable) library(MEDIPS) mr.edgeR.s = MEDIPS.selectSig(results=mr.edgeR, p.value=0.05, adj=T, ratio=NULL, bg.counts=NULL, CNV=F) mr.edgeR.s ## End(Not run)
This data set contains a sample table describing the samples of the QSEA lung cancer MeDIP seq example data.
data(samplesNSCLC)data(samplesNSCLC)
## Not run: data(samplesNSCLC) samplesNSCLC ## End(Not run)## Not run: data(samplesNSCLC) samplesNSCLC ## End(Not run)
Calibration data for the lung cancer MeDIP seq example data, taken from TCGA LUAD and LUSC studies.
data(CS)data(CS)
## Not run: data(tcga_luad_lusc_450kmeth) tcga_luad_lusc_450kmeth ## End(Not run)## Not run: data(tcga_luad_lusc_450kmeth) tcga_luad_lusc_450kmeth ## End(Not run)