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#' featureBasedData
#'
#' This dataset includes analysis results of RNA-seq data in Dolatshad et al. (2015),
#' which compared transcriptome of CD34+ cells from myelodysplastic syndrome (MDS) patients
#' with SF3B1 mutations vs. healthy controls using RNA sequencing.
#' The \code{JunctionSeq} package was used to assess differential usage of counting bins, which are
#' non-overlapping segments of the exons or splicing junctions (see Fig 1 in Anders et al. (2012)).
#' Because of the size limit, only counting bins associated with
#' a subset of genes were included here for demonstration.
#'
#' @docType data
#' @keywords datasets
#' @name featureBasedData
#' @usage data(featureBasedData)
#'
#' @format A data frame with variables for gene identifier (\code{geneID}), gene feature identifier (\code{countbinID}), and
#' p-value for gene feature (\code{pvalue}). Here we used "gene feature" and "counting bin" interchangeably
#'
#' @references H Dolatshad, A Pellagatti, M Fernandez-Mercado1, B H Yip, L Malcovati, M Attwood, B Przychodzen
#' N Sahgal, A A Kanapin, H Lockstone, L Scifo, P Vandenberghe, E Papaemmanuil, C W J Smith, P J Campbell,
#' S Ogawa1, J P Maciejewski, M Cazzola, K I Savage1 and J Boultwood1 (2015) \emph{Disruption of SF3B1 results in deregulated
#' expression and splicing of key genes and pathways in myelodysplastic syndrome hematopoietic stem and progenitor
#' cells.} Leukemia (2015) 29, 1092-1103
#'
#' Anders S, Reyes A, Huber W (2012) \emph{Dececting differential usage of exons from RNA-seq data.}
#' Genome Research 22(10): 2008-2017
#'
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