%\VignetteIndexEntry{smlSet construction overview} %\VignetteDepends{GGtools} %\VignetteKeywords{Genetical genomics,SNP,expression} %\VignettePackage{GGBase} % % NOTE -- ONLY EDIT THE .Rnw FILE!!! The .tex file is % likely to be overwritten. % \documentclass[12pt]{article} \usepackage{amsmath,pstricks} \usepackage[authoryear,round]{natbib} \usepackage{hyperref} \textwidth=6.2in \textheight=8.5in %\parskip=.3cm \oddsidemargin=.1in \evensidemargin=.1in \headheight=-.3in \newcommand{\scscst}{\scriptscriptstyle} \newcommand{\scst}{\scriptstyle} \newcommand{\Rfunction}[1]{{\texttt{#1}}} \newcommand{\Robject}[1]{{\texttt{#1}}} \newcommand{\Rpackage}[1]{{\textit{#1}}} \newcommand{\Rmethod}[1]{{\texttt{#1}}} \newcommand{\Rfunarg}[1]{{\texttt{#1}}} \newcommand{\Rclass}[1]{{\textit{#1}}} \textwidth=6.2in \bibliographystyle{plainnat} \begin{document} %\setkeys{Gin}{width=0.55\textwidth} \title{how to make an smlSet from hapmap data} \author{VJ Carey} \maketitle \begin{enumerate} \item \textbf{Raw data acquisition:} Obtain the hapmap files from the bulk data download. A typical filename is \begin{verbatim} genotypes_chrY_YRI_r23_nr.b36_fwd.txt.gz \end{verbatim} \item use snpMatrix read.HapMap.data to obtain the associated snp.matrix and support data frame. We do this for the 24 main chromosome files. We save the snp.matrix for chromosome n to C[nn].rda. Be careful with the ordering of filenames -- should match desired ordering of chromosomes. %An example, after saving the reads to .rda files, is <>= load("C1.rda") names(C1) C1[[2]][1,] @ %Note that the chromosome is 10, so there is no correspondence between %rda filename and chromosome. We will have to check the contents of %the file to assign to a chromosome, but that is not too onerous. %\item \textbf{Formatting of location data:} Pull the 'support' data together so that a SNP location resource can %be made. % %The steps are %\begin{enumerate} %\item iterate over the saved reads and accumulate the location data frame. %Assuming that the only .rda files in the current folder are %read.HapMap.data results, the following will work, yielding a dataframe %called supp. % %<>= %supp = NULL; %for (i in 1:24) { % cat(i) % load(ofi[i]); fn = gsub(".rda", "", ofi[i]); supp = rbind(supp, get(fn)$snp.supp) % rm(fn) % gc() %} %@ %\item get the dataframe into order -- sort by chromosomes and position within %chromosome: % %<>= %cc = as.character(supp$Chrom) %cc = gsub("chr", "", cc) %cc[cc=="X"] = 23 %cc[cc=="Y"] = 24 %ncc = as.numeric(cc) %oo = order(cc, supp$Posi) %osupp = supp[oo,] %save(osupp, file="osupp.rda") %@ % %\end{enumerate} % %\item serialize the location data to SQLite % %<>= %supp2SQLite(osupp, "hmyriAmbB36_23a" , "hmyriAmbB36_23a.sqlite") %@ % %Now, for example, we have %\begin{verbatim} %> myc = dbConnect(myd, "hmyriAmbB36_23a.sqlite") %> dbGetQuery(myc, "select * from hmyriAmbB36_23a limit 5") % rsid alleles chrnum loc %1 10399749 Y 1 45162 %2 2949421 W 1 45413 %3 2691310 M 1 46844 %4 4030303 Y 1 72434 %5 4030300 K 1 72515 %\end{verbatim} % \item \textbf{Create a list of snp.matrix of genotype data:} <>= ofi = dir(patt="C.*rda") allsm = list() cn = rep(NA,24) for (i in 1:24) { cat(i) load(ofi[i]); fn = gsub(".rda", "", ofi[i]); allsm[[i]] = get(fn)[[1]] cn[i] = as.character(get(fn)[[2]][1,"Chromosome"]) print(fn) rm(fn) gc() } @ Don't forget to give names 1:22, X, Y to the list elements. \item Create an environment and assign the list created above to symbol \texttt{smList} in that environment. This environment is a valid value for the smlEnv slot of a smlSet instance. \item The chromInds slot gives numerical indices indicating which chromosomes are included; see hmceuB36.2021 in GGtools for an example. \item remaining slots are as in ExpressionSet \end{enumerate} \end{document}