plotChr package:geneplotter R Documentation _P_l_o_t _S_m_o_o_t_h_e_d _S_e_n_s_e/_A_n_t_i-_s_e_n_s_e _o_f _S_p_e_c_i_f_i_e_d _C_h_r_o_m_o_s_o_m_e_s _D_e_s_c_r_i_p_t_i_o_n: For a given chromosome, plot the smooths of the sense and the anti-sense from 5' to 3' (left to right on x-axis). _U_s_a_g_e: plotChr(chrN, senseObj, cols = rep("black", length(senseObj[[1]])), log = FALSE, xloc = c("equispaced", "physical"), geneSymbols = FALSE, ngenes = 20, lines.at = NULL, lines.col = "red") _A_r_g_u_m_e_n_t_s: chrN: The desired chromosome, e.g. for humans it would be a character string in the set of c(1:22, "X", "Y"). senseObj: The result of 'Makesense'. cols: A vector of colors for the lines in the plot, typically specified according to a certain pheotype of samples. log: Logical, whether log-transformation should be taken on the smoothed expressions. xloc: Determines whether the "Representative Genes" will be displayed according to their relative positions on the chromosome (physical), or spaced evenly (equispaced). Default is equispaced. geneSymbols: Logical, whether to use Affy IDs or Gene Symbols for "Representative Genes", default is Affy IDs. ngenes: Desired number of "Representative Genes". The number of actual displayed genes may differ. lines.at: A vector of Affy IDs. Vertical lines will be drawn at specified genes. lines.col: A vector of colors associated with 'lines.at'. _A_u_t_h_o_r(_s): Robert Gentleman and Xiaochun Li _S_e_e _A_l_s_o: 'Makesense' _E_x_a_m_p_l_e_s: example(Makesense) op <- par(ask=TRUE) cols <- ifelse(expressionSet133a$cov1=="test 1", "red", "green") plotChr("21", esetobj, cols) # plot on log-scale: plotChr("21", esetobj, cols, log=TRUE) # genesymbol instead of probe names: plotChr("21", esetobj, cols, log=TRUE, geneSymbols=TRUE) # add vertical lines at genes of interest: gs <- c("220372_at", "35776_at", "200943_at") plotChr("21", esetobj, cols, log=TRUE, geneSymbols=FALSE, lines.at=gs) # add vertical lines at genes of interest # with specified colors: gs <- c("220372_at", "35776_at", "200943_at") cc <- c("blue", "cyan","magenta") plotChr("21", esetobj, cols, log=TRUE, geneSymbols=FALSE, lines.at=gs, lines.col=cc) par(op)