#' @title Table of allele counts etc. from an ATAC-seq dataset.
#'
#' @format A data frame with 39659 rows and 12 variables:
#' \describe{
#' \item{chr}{chromosome}
#' \item{location}{genomic location based on hg19}
#' \item{m}{total number of reads covering the SNP}
#' \item{xm}{total number of reads at the SNP from the maternal allele}
#' \item{winning.chip}{
#' the allele with more ChIP-seq reads. "P" if xm < m/2 and "M" otherwise
#' }
#' \item{motif}{
#' the ID and the transcription factor name of the motif in JASPAR database
#' (Mathelier and others, 2013).
#' }
#' \item{pval.mat.atSNP}{
#' the p-value of the motif on the maternal allele from R package
#' \code{atSNP}
#' }
#' \item{winning.motif}{
#' the allele with stronger motif, e.g. it is "M" if pval.mat.atSNP <
#' pval.pat.atSNP
#' }
#' \item{potential.TP}{
#' whether it is a potential TP based on our criteria described in the
#' Supplementary notes. The users can define it differently using different
#' thresholds on the various p-values from atSNP.
#' }
#' \item{potential.FP}{
#' whether it is a potential FP based on our criteria described in the
#' Supplementary notes. The users can define it differently using different
#' thresholds on the various p-values from atSNP.
#' }
#' }
"atac"
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