BreastCancer {metaSeq}R Documentation

Multiple RNA-Seq count data designed as Breast Cancer cell lines vs Normal cells

Description

A data frame with 23368 rows (genes) with following 18 columns (samples).

All reads were measured by Illumina Genome Analyzer II or IIX, trimmed as 36 base, and mapped to the human reference genome hg19 as single-end. Each experimental design was restricted as Breast cancer cell vs Normal cell. Quality Control was performed by FastQC and samples whose quality scores were at least over 20 were choosed. Counts are quantified by HTSeq.

Usage

data(BreastCancer)

Details

StudyA: SRP008746

StudyB: SRP006726

StudyC: SRP005601

StudyD: ERP000992

Source

https://trace.ddbj.nig.ac.jp/DRASearch/study?acc=SRP008746

http://trace.ddbj.nig.ac.jp/DRASearch/study?acc=SRP006726

http://trace.ddbj.nig.ac.jp/DRASearch/study?acc=SRP005601

http://trace.ddbj.nig.ac.jp/DRASearch/study?acc=ERP000992

References

Hon, G. C. and Hawkins, R. D. and Caballero, O. L. and Lo, C et al. (2012) Global DNA hypomethylation coupled to repressive chromatin domain foormation and gene silencing in breast cancer. Genome Research, 22 (2): 246-258

Sun, Z. and Asmann, Y. W. and Kalari, K. R. and Bot, B. et al. (2011) Integrated analysis of gene expression, CpG island methylation, and gene copy number in breast cancer cells by deep sequencing. PLOS ONE, 25;6(2): e17490

See Also

StudyA, pvals.

Examples

data(BreastCancer)

[Package metaSeq version 1.28.0 Index]