search for: fbp1

...C1, AAC3\nb:AAP1, ACN9, ALG1, ALG11, ALG12, ALG13, ALG14, ALG2, ALG3, ALG5, ALG6, ALG7, ALG8, ALG9, AMS1, ANP1, ARA1, ATH1, BCH1, BCH2, BMH1, BMH2, BNI4, BUD7, CAX4, CDC19, CHS3, CHS5, CHS6, CHS7, CIT2, CTS1, CWH41, DDP1, DIE2, DIP5, DLD1, DOG1, DOG2, DPM1, ELM1, ENO1, ENO2, EOS1, ERD1, EXG1, FBA1, FBP1, FBP26, FDH1, FKS1, GAC1, GAL1, GAL10, GAL2, GAL3, GAL4, GAL7, GAL80, GCY1, GDA1, GDB1, GFA1, GIP2, GLC3, GLC7, GLC8, GLG1, GLG2, GLK1, GLO2, GLO4, GNA1, GND1, GND2, GNT1, GPH1, GPM1, GRE3, GSC2, GSY1, GSY2, GTB1, GUT2, HAP4, HKR1, HOC1, HOR2, HPF1, HXK1, HXK2, HXT4, ICL1, IMP2', INM1, INM2, IT...

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="\"")