The object contains the gene expression data after differential gene expression analysis performed with DESeq2 R/Bioconductor package. The preprocessing of the RNA-Seq data included read alignment to the human reference genome (GRCh 37.1 / hg 19; STAR version 2.3.0), and read counting done with htseq-count (default mode union).
"DESeqDataSet" object with 136 CLL samples and 63677 features.
Love MI, Huber W, and Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014;15(12):550
Dobin A, Davis CA, Schlesinger F, Drenkow J, Zaleski C, Jha S, Batut P, Chaisson M, and Gingeras TR. STAR: ultrafast universal RNA-seq aligner. Bioinformatics. 2013;29(1):15-21
Anders S, Pyl PT, and Huber W. HTSeq–a Python framework to work with high-throughput sequencing data. Bioinformatics. 2015;31(2):166-9
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