search for: mitochondri

Hello, Please have a look at the code below, which I use to read in the attached file. As line 18 of the file reads "1065:>sp|Q9V3T9|ADRO_DROME NADPH:adrenodoxin oxidoreductase, mitochondrial OS=Drosophila melanogaster GN=dare PE=2 SV=1", I expect the code below to produce a 3 column data frame with most of the last column empty and line 18 to produce a data.frame row like so: V1 1065 V2 >sp|Q9V3T9|ADRO_DROME NADPH V3 adrenodoxin oxidoreductase, mitochondrial OS=Drosop...

Hello! I have this problem: I want to create a Venn's diagram with three lists of genes'names. The first is all the genome, the second a subset of it comprising all mitochondrial genes, and the third including all genes that correlate with a given gene. This is what I do: > library(gplots) > A<-read.delim("F:/.../mito genes just names.txt") > B<-read.delim("F:/.../My gene all cors names.txt") > C<-read.delim("F:/.../all gene...

...reshold (that I have not set yet and may need help finding the right level) for genotyping. It should be able to "no call" samples outside the clusters. It also needs to accommodate a negative control sample by not including it in any genotype cluster. I'm looking at both nuclear and mitochondrial DNA so hopefully it can be sophisticated enough to set the number of cluster between two or three within the array. These genotyping arrays are either 48 samples x 48 assays, 96x96, or 192x24 and it would be nice if it could accommodate any range of samples and assays. the data headings from th...

...genzentrum.lmu.de Relevant references: Gagneur et al., PLoS Genetics, 2013, Genotype-Environment Interactions Reveal Causal Pathways That Mediate Genetic Effects on Phenotype Kornblum et al, Nature Genetics, 2013, Loss-of-function mutations in MGME1 impair mtDNA replication and cause multisystemic mitochondrial disease [[alternative HTML version deleted]]

Dear all, Here is my code which am using to combine 5th column from different data sets. Here is the function to do my job genesymbol.append.file <-NULL gene.column <- NULL readGeneSymbol <- function(files,genesymbol.column=5){ for(i in fnames){ temp <- read.table(fnames,header=T,sep="\t",stringsAsFactors=F,quote="\"")