Question on Analyzing Illumina 450k methylation data
1
0
Entering edit mode
@srinivas-srikanth-4708
Last seen 10.2 years ago
Dear members, I have methylation data for 4 tumor and 5 normal cases from Illumina 450k array in iDAT format. I used methylumi package to read the idat files in R. I am unable to get a way to export the probes with the intensity values and corresponding genomic position (say TSS200, TSS1500 etc.). I want to see the differences in methylation at different sites across tumor normal. Please help. I use the following commands: > barcodes<-c("8963303122_R01C01","8963303122_R01C02","8963303122_R02C02 ","8963303122_R04C01","8963303122_R04C02","8963303122_R05C01","8963303 122_R06C01","8963303142_R01C01","8963303142_R02C01","8963303142_R03C01 ") > lumiset<-methylumIDAT(barcodes) > normalized<-normalizeMethyLumiSet(lumiset) > write.table(file="normalized_beta_values.tsv",quote=F,sep="\t",data.fr ame(betas(normalized))) sessionInfo() R version 2.15.0 (2012-03-30) Platform: x86_64-unknown-linux-gnu (64-bit) locale: [1] LC_CTYPE=en_US.utf8 LC_NUMERIC=C [3] LC_TIME=en_US.utf8 LC_COLLATE=en_US.utf8 [5] LC_MONETARY=en_US.utf8 LC_MESSAGES=en_US.utf8 [7] LC_PAPER=C LC_NAME=C [9] LC_ADDRESS=C LC_TELEPHONE=C [11] LC_MEASUREMENT=en_US.utf8 LC_IDENTIFICATION=C attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] IlluminaHumanMethylation450k.db_1.4.7 org.Hs.eg.db_2.8.0 [3] RSQLite_0.11.2 DBI_0.2-5 [5] AnnotationDbi_1.20.3 methylumi_2.4.0 [7] ggplot2_0.9.3 reshape2_1.2.2 [9] scales_0.2.3 Biobase_2.18.0 [11] BiocGenerics_0.4.0 loaded via a namespace (and not attached): [1] annotate_1.36.0 colorspace_1.2-1 dichromat_2.0-0 digest_0.6.3 [5] genefilter_1.40.0 grid_2.15.0 gtable_0.1.2 IRanges_1.16.6 [9] labeling_0.1 lattice_0.20-10 MASS_7.3-23 munsell_0.4 [13] parallel_2.15.0 plyr_1.8 proto_0.3-10 RColorBrewer_1.0-5 [17] splines_2.15.0 stats4_2.15.0 stringr_0.6.2 survival_2.37-2 [21] tools_2.15.0 XML_3.95-0.1 xtable_1.7-1 Thanks in advance, Srikanth -- Srinivas Srikanth Ph.D. Student Institute of Bioinformatics Discoverer, 7th Floor, International Technology Park, Bangalore, India Mob:+919019114878, India [[alternative HTML version deleted]]
methylumi methylumi • 1.4k views
ADD COMMENT
0
Entering edit mode
@srinivas-srikanth-4708
Last seen 10.2 years ago
Dear members, I have methylation data for 4 tumor and 5 normal cases from Illumina 450k array in iDAT format. I used methylumi package to read the idat files in R. I am unable to get a way to export the probes with the intensity values and corresponding genomic position (say TSS200, TSS1500 etc.). I want to see the differences in methylation at different sites across tumor normal. Please help. I use the following commands: > barcodes<-c("8963303122_R01C01","8963303122_R01C02","8963303122_R02C02 ","8963303122_R04C01","8963303122_R04C02","8963303122_R05C01","8963303 122_R06C01","8963303142_R01C01","8963303142_R02C01","8963303142_R03C01 ") > lumiset<-methylumIDAT(barcodes) > normalized<-normalizeMethyLumiSet(lumiset) > write.table(file="normalized_beta_values.tsv",quote=F,sep="\t",data.fr ame(betas(normalized))) sessionInfo() R version 2.15.0 (2012-03-30) Platform: x86_64-unknown-linux-gnu (64-bit) locale: [1] LC_CTYPE=en_US.utf8 LC_NUMERIC=C [3] LC_TIME=en_US.utf8 LC_COLLATE=en_US.utf8 [5] LC_MONETARY=en_US.utf8 LC_MESSAGES=en_US.utf8 [7] LC_PAPER=C LC_NAME=C [9] LC_ADDRESS=C LC_TELEPHONE=C [11] LC_MEASUREMENT=en_US.utf8 LC_IDENTIFICATION=C attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] IlluminaHumanMethylation450k.db_1.4.7 org.Hs.eg.db_2.8.0 [3] RSQLite_0.11.2 DBI_0.2-5 [5] AnnotationDbi_1.20.3 methylumi_2.4.0 [7] ggplot2_0.9.3 reshape2_1.2.2 [9] scales_0.2.3 Biobase_2.18.0 [11] BiocGenerics_0.4.0 loaded via a namespace (and not attached): [1] annotate_1.36.0 colorspace_1.2-1 dichromat_2.0-0 digest_0.6.3 [5] genefilter_1.40.0 grid_2.15.0 gtable_0.1.2 IRanges_1.16.6 [9] labeling_0.1 lattice_0.20-10 MASS_7.3-23 munsell_0.4 [13] parallel_2.15.0 plyr_1.8 proto_0.3-10 RColorBrewer_1.0-5 [17] splines_2.15.0 stats4_2.15.0 stringr_0.6.2 survival_2.37-2 [21] tools_2.15.0 XML_3.95-0.1 xtable_1.7-1 Thanks in advance, Srikanth -- Srinivas Srikanth Ph.D. Student Institute of Bioinformatics Discoverer, 7th Floor, International Technology Park, Bangalore, India Mob:+919019114878, India [[alternative HTML version deleted]]
ADD COMMENT

Login before adding your answer.

Traffic: 877 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6