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Question: HTqPCR problem with creation of qPCRset
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gravatar for Elisabeth Gilis
4.8 years ago by
Elisabeth Gilis20 wrote:
Hi, I'm a PhD student from the University of Ghent, and I'm just starting to learn how to work with R. The initial aim is to analyse qPCR data with the package HTqPCR so I read quite a few manuals regarding the program R and HTqPCR. My problem is situated right at the beginning of the analysis, namely loading my data. I think I got it correctly that I first have to make a so-called "qPCRset" of my data? So just to begin easily, I made an Excel file with just 3 columns: Sample Name Cp A1 Actin 17 A2 Actin 18 A3 Actin 16 And saved it as a text file "test.qPCR.txt" to be able to import it. For this I downloaded "RStudio" and in this program I imported my dataset "test.qPCR.txt. (This is what is printed on the command line (not by me, but by the program RStudio): > test.qPCR <- read.delim("~/test.qPCR.txt", dec=",") This was no problem at all, I actually get a nice data frame (when I type the command >class(test.qPCR) I get [1]"data.frame"). Then I loaded the package HTqPCR and at this point I'm stuck. I want to use my dataset that I imported to make a qPCRset, but I have no clue how to do it. I tried already some some commands, but they all give me errors, for example: > raw<-readCtData("test.qPCR.txt") Error in `[.data.frame`(sample, , column.info[["Ct"]]) : undefined columns selected In addition: Warning message: In .readCtPlain(readfile = readfile, header = header, n.features = n.features, : 384 gene names (rows) expected, got 4 > raw<-readCtData(test.qPCR) Error in read.table(file = file, header = header, sep = sep, quote = quote, : 'file' must be a character string or connection > raw<-readCtData(files:"test.qPCR",path=path,format="plain") Error in files:"test.qPCR" : NA/NaN argument In addition: Warning messages: 1: In files:"test.qPCR" : numerical expression has 2 elements: only the first used 2: In readCtData(files:"test.qPCR", path = path, format = "plain") : NAs introduced by coercion So I'm really stuck here, if somebody would help me to get started, I would be really grateful! Kind regards, Elisabeth Gilis, PhD student Department of Rheumatology Ghent University
ADD COMMENTlink modified 4.8 years ago by James W. MacDonald45k • written 4.8 years ago by Elisabeth Gilis20
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gravatar for James W. MacDonald
4.8 years ago by
United States
James W. MacDonald45k wrote:
Hi Elisabeth, On 2/19/2013 10:25 AM, Elisabeth Gilis wrote: > Hi, > > I'm a PhD student from the University of Ghent, and I'm just starting > to learn how to work with R. > The initial aim is to analyse qPCR data with the package HTqPCR so I > read quite a few manuals regarding the program R and HTqPCR. > My problem is situated right at the beginning of the analysis, namely > loading my data. > I think I got it correctly that I first have to make a so-called > "qPCRset" of my data? > So just to begin easily, I made an Excel file with just 3 columns: > Sample Name Cp > A1 Actin 17 > A2 Actin 18 > A3 Actin 16 > > And saved it as a text file "test.qPCR.txt" to be able to import it. > For this I downloaded "RStudio" and in this program I imported my > dataset "test.qPCR.txt. > (This is what is printed on the command line (not by me, but by the > program RStudio): >> test.qPCR <- read.delim("~/test.qPCR.txt", dec=",") It's not such a bad idea to make some fake data to practice with. However, you have to first ensure that the data conform to what the program expects. If you look at the help page for readCtData(), you will see that the input file format can be one of many different types. A close reading will indicate that the format you have chosen for your fake data isn't one of them. There are often example scripts that are part of a help page that you can run, and that holds true for this function. So if you type example("readCtData") at the R prompt, you will run the example data and get a qPCRset that you can then play around with. You might also look at the vignette for this package: http://bioconductor.org/packages/2.11/bioc/vignettes/HTqPCR/inst/doc/H TqPCR.pdf which looks pretty helpful to me. Best, Jim > > This was no problem at all, I actually get a nice data frame (when I > type the command >class(test.qPCR) > I get [1]"data.frame"). > Then I loaded the package HTqPCR and at this point I'm stuck. > I want to use my dataset that I imported to make a qPCRset, but I have > no clue how to do it. > I tried already some some commands, but they all give me errors, for > example: > >> raw<-readCtData("test.qPCR.txt") > Error in `[.data.frame`(sample, , column.info[["Ct"]]) : > undefined columns selected > In addition: Warning message: > In .readCtPlain(readfile = readfile, header = header, n.features = > n.features, : > 384 gene names (rows) expected, got 4 > > >> raw<-readCtData(test.qPCR) > Error in read.table(file = file, header = header, sep = sep, quote = > quote, : > 'file' must be a character string or connection > > >> raw<-readCtData(files:"test.qPCR",path=path,format="plain") > Error in files:"test.qPCR" : NA/NaN argument > In addition: Warning messages: > 1: In files:"test.qPCR" : > numerical expression has 2 elements: only the first used > 2: In readCtData(files:"test.qPCR", path = path, format = "plain") : > NAs introduced by coercion > > So I'm really stuck here, if somebody would help me to get started, I > would be really grateful! > Kind regards, > Elisabeth Gilis, PhD student > Department of Rheumatology > Ghent University > > _______________________________________________ > Bioconductor mailing list > Bioconductor at r-project.org > https://stat.ethz.ch/mailman/listinfo/bioconductor > Search the archives: > http://news.gmane.org/gmane.science.biology.informatics.conductor -- James W. MacDonald, M.S. Biostatistician University of Washington Environmental and Occupational Health Sciences 4225 Roosevelt Way NE, # 100 Seattle WA 98105-6099
ADD COMMENTlink written 4.8 years ago by James W. MacDonald45k
Dear James, First of all, I would like to thank you for your quick response! I looked at the example and I've read the manuals, but my problem is still there, I don't know how to put my data in the right format. I made a file, just the same file as is given when you use the >example(readCtData), namely: File Treatmentsample1.txt Controlsample2.txt LongStarvesample3.txt LongStarvesample4.txt Controlsample5.txt Starvesample6.txt Starve first in Excel & then saved as a text file, but this is also not good since I get an error: Error in data.frame(sample = 1:length(samples), row.names = samples) : row names supplied are of the wrong length This is probably since the example txt file is made of different txt files, but could it be possible to go step by step with me for how I need to put my data in a correct format? So these are my data (that are put in a txt file): I had 36 samples, each in duplo for 5 genes en these are the results: Name Cp amActin-S1 17,56 amActin-S1 17,55 amActin-S2 16,43 amActin-S2 16,44 amActin-S3 18,1 amActin-S3 17,75 amActin-S4 18,02 amActin-S4 17,81 amActin-S5 17,87 amActin-S5 17,74 amActin-S6 17,07 amActin-S6 17,02 amActin-S7 19,65 amActin-S7 19,47 amActin-S8 19,64 amActin-S8 19,19 amActin-S9 17,11 amActin-S9 16,7 amActin-S10 17,06 amActin-S10 17,22 amActin-S11 18,02 amActin-S11 17,98 amActin-S12 17,6 amActin-S12 17,35 amActin-S13 16,17 amActin-S13 15,95 amActin-S14 16,51 amActin-S14 16,52 amActin-S15 17,24 amActin-S15 17,15 amActin-S16 17,01 amActin-S16 16,9 amActin-S17 15,85 amActin-S17 15,9 amActin-S18 15,98 amActin-S18 15,99 amActin-S19 17,92 amActin-S19 17,67 amActin-S20 18,5 amActin-S20 18,34 amActin-S21 16,92 amActin-S21 16,77 amActin-S22 17,45 amActin-S22 17,31 amActin-S23 17,82 amActin-S23 17,8 amActin-S24 17,21 amActin-S24 17,16 amActin-S25 15,9 amActin-S25 15,92 amActin-S26 16,15 amActin-S26 16 amActin-S27 17,94 amActin-S27 18,02 amActin-S28 18,5 amActin-S28 18,33 amActin-S29 15,96 amActin-S29 15,75 amActin-S30 15,94 amActin-S30 15,83 amActin-S31 17,04 amActin-S31 16,89 amActin-S32 17,06 amActin-S32 17,04 amActin-S33 16,58 amActin-S33 16,5 amActin-S34 16,34 amActin-S34 15,91 amActin-S35 16,54 amActin-S35 16,62 amActin-S36 16,02 amActin-S36 15,95 COL4A1-S1 21,32 COL4A1-S1 21,32 COL4A1-S2 19,77 COL4A1-S2 19,81 COL4A1-S3 21,12 COL4A1-S3 21,17 COL4A1-S4 21,67 COL4A1-S4 21,51 COL4A1-S5 21,15 COL4A1-S5 21,19 COL4A1-S6 20,59 COL4A1-S6 20,66 COL4A1-S7 22,22 COL4A1-S7 22,23 COL4A1-S8 22,06 COL4A1-S8 22,09 COL4A1-S9 20,02 COL4A1-S9 20,05 COL4A1-S10 20,27 COL4A1-S10 20,31 COL4A1-S11 20,91 COL4A1-S11 20,88 COL4A1-S12 20,66 COL4A1-S12 20,58 COL4A1-S13 19,53 COL4A1-S13 19,53 COL4A1-S14 20,26 COL4A1-S14 20,16 COL4A1-S15 20,49 COL4A1-S15 20,43 COL4A1-S16 20,56 COL4A1-S16 20,47 COL4A1-S17 19,03 COL4A1-S17 18,87 COL4A1-S18 19,16 COL4A1-S18 19,19 COL4A1-S19 20,83 COL4A1-S19 20,91 COL4A1-S20 21,49 COL4A1-S20 21,45 COL4A1-S21 20,03 COL4A1-S21 19,95 COL4A1-S22 20,75 COL4A1-S22 20,85 COL4A1-S23 20,97 COL4A1-S23 20,92 COL4A1-S24 20,47 COL4A1-S24 20,28 COL4A1-S25 19,48 COL4A1-S25 19,42 COL4A1-S26 19,69 COL4A1-S26 19,69 COL4A1-S27 21,13 COL4A1-S27 21,04 COL4A1-S28 21,46 COL4A1-S28 21,44 COL4A1-S29 19,25 COL4A1-S29 19,26 COL4A1-S30 19,08 COL4A1-S30 19,17 COL4A1-S31 20,23 COL4A1-S31 20,34 COL4A1-S32 20,65 COL4A1-S32 20,62 COL4A1-S33 20,14 COL4A1-S33 20,21 COL4A1-S34 19,48 COL4A1-S34 19,32 COL4A1-S35 20,16 COL4A1-S35 20,1 COL4A1-S36 19,73 COL4A1-S36 19,82 GAPDH-S1 18,32 GAPDH-S1 18,43 GAPDH-S2 17,44 GAPDH-S2 17,46 GAPDH-S3 18,56 GAPDH-S3 18,56 GAPDH-S4 18,82 GAPDH-S4 18,79 GAPDH-S5 18,2 GAPDH-S5 18,2 GAPDH-S6 17,66 GAPDH-S6 17,55 GAPDH-S7 19,1 GAPDH-S7 19,11 GAPDH-S8 18,95 GAPDH-S8 18,98 GAPDH-S9 18,3 GAPDH-S9 18,47 GAPDH-S10 18,5 GAPDH-S10 18,21 GAPDH-S11 19,05 GAPDH-S11 19,01 GAPDH-S12 18,7 GAPDH-S12 18,73 GAPDH-S13 17,55 GAPDH-S13 17,55 GAPDH-S14 17,78 GAPDH-S14 17,91 GAPDH-S15 18,03 GAPDH-S15 18,06 GAPDH-S16 18,04 GAPDH-S16 18,06 GAPDH-S17 16,65 GAPDH-S17 16,67 GAPDH-S18 16,79 GAPDH-S18 16,79 GAPDH-S19 18,07 GAPDH-S19 18,14 GAPDH-S20 18,62 GAPDH-S20 18,63 GAPDH-S21 18,42 GAPDH-S21 18,32 GAPDH-S22 18,74 GAPDH-S22 18,73 GAPDH-S23 19 GAPDH-S23 19 GAPDH-S24 18,62 GAPDH-S24 18,62 GAPDH-S25 17,24 GAPDH-S25 17,11 GAPDH-S26 17,3 GAPDH-S26 17,18 GAPDH-S27 18,07 GAPDH-S27 18,08 GAPDH-S28 18,3 GAPDH-S28 18,23 GAPDH-S29 17,45 GAPDH-S29 17,48 GAPDH-S30 17,33 GAPDH-S30 17,42 GAPDH-S31 18,32 GAPDH-S31 18,32 GAPDH-S32 18,43 GAPDH-S32 18,3 GAPDH-S33 17,83 GAPDH-S33 17,91 GAPDH-S34 17,24 GAPDH-S34 17,44 GAPDH-S35 17,84 GAPDH-S35 18 GAPDH-S36 17,54 GAPDH-S36 17,49 Actinb-S1 30,07 Actinb-S1 19,63 Actinb-S2 17,82 Actinb-S2 17,71 Actinb-S3 18,14 Actinb-S3 18,27 Actinb-S4 19,51 Actinb-S4 19,43 Actinb-S5 19,71 Actinb-S5 19,73 Actinb-S6 18,27 Actinb-S6 18,45 Actinb-S7 20,08 Actinb-S7 20,14 Actinb-S8 19,47 Actinb-S8 19,2 Actinb-S9 18,65 Actinb-S9 18,51 Actinb-S10 19,12 Actinb-S10 19,7 Actinb-S11 19,57 Actinb-S11 19,88 Actinb-S12 19,31 Actinb-S12 19,24 Actinb-S13 17,89 Actinb-S13 18,02 Actinb-S14 17,67 Actinb-S14 17,92 Actinb-S15 18,79 Actinb-S15 18,94 Actinb-S16 18,58 Actinb-S16 18,62 Actinb-S17 16,78 Actinb-S17 17,84 Actinb-S18 17,21 Actinb-S18 18,81 Actinb-S19 19,72 Actinb-S19 19,65 Actinb-S20 19,78 Actinb-S20 20,5 Actinb-S21 18,84 Actinb-S21 19,12 Actinb-S22 19,49 Actinb-S22 20 Actinb-S23 19,69 Actinb-S23 19,87 Actinb-S24 18,84 Actinb-S24 18,74 Actinb-S25 16,22 Actinb-S25 18,07 Actinb-S26 17,63 Actinb-S26 17,74 Actinb-S27 17,97 Actinb-S27 18,55 Actinb-S28 18,93 Actinb-S28 19,15 Actinb-S29 18,07 Actinb-S29 18,51 Actinb-S30 18,18 Actinb-S30 18,34 Actinb-S31 18,85 Actinb-S31 19,32 Actinb-S32 19,01 Actinb-S32 19,18 Actinb-S33 18,13 Actinb-S33 18,51 Actinb-S34 18,11 Actinb-S34 18,28 Actinb-S35 17,58 Actinb-S35 17,51 Actinb-S36 17,43 Actinb-S36 17,93 HPRT-S1 27,59 HPRT-S1 27,5 HPRT-S2 26,32 HPRT-S2 26,53 HPRT-S3 26,94 HPRT-S3 26,61 HPRT-S4 27,06 HPRT-S4 27,15 HPRT-S5 26,75 HPRT-S5 26,69 HPRT-S6 27,73 HPRT-S6 26,81 HPRT-S7 27,2 HPRT-S7 27,23 HPRT-S8 26,99 HPRT-S8 26,94 HPRT-S9 27,1 HPRT-S9 27,03 HPRT-S10 27,52 HPRT-S10 26,95 HPRT-S11 27,31 HPRT-S11 27,2 HPRT-S12 27,68 HPRT-S12 27,15 HPRT-S13 26,34 HPRT-S13 26,16 HPRT-S14 27,04 HPRT-S14 27,25 HPRT-S15 26,82 HPRT-S15 26,32 HPRT-S16 27,58 HPRT-S16 27,29 HPRT-S17 25,87 HPRT-S17 26,28 HPRT-S18 26,89 HPRT-S18 26,53 HPRT-S19 27,46 HPRT-S19 26,78 HPRT-S20 26,79 HPRT-S20 26,71 HPRT-S21 28,02 HPRT-S21 27,41 HPRT-S22 27,75 HPRT-S22 27,48 HPRT-S23 27,57 HPRT-S23 27,17 HPRT-S24 27,04 HPRT-S24 26,61 HPRT-S25 27,06 HPRT-S25 26,49 HPRT-S26 26,26 HPRT-S26 25,66 HPRT-S27 26,76 HPRT-S27 26,49 HPRT-S28 26,79 HPRT-S28 26,88 HPRT-S29 26,94 HPRT-S29 26,31 HPRT-S30 26,22 HPRT-S30 25,85 HPRT-S31 26,7 HPRT-S31 26,85 HPRT-S32 27,17 HPRT-S32 26,82 HPRT-S33 27,06 HPRT-S33 26,74 HPRT-S34 26,53 HPRT-S34 25,99 HPRT-S35 26,79 HPRT-S35 26,84 HPRT-S36 26,43 HPRT-S36 25,91 Do I need to add names and slots and flags? (I don't really know what these are, but I read it a few times) I think my format will be "plain", but that I also have the tell that "Ct"="Cp". But would it be possible to explan me step by step how to put it in the right format. I will also add the txt file to the mail, perhaps this will make things easier. Kind regards, Elisabeth Gilis, PhD student Department of Rheumatology Ghent University Citeren "James W. MacDonald" <jmacdon at="" uw.edu="">: > Hi Elisabeth, > > On 2/19/2013 10:25 AM, Elisabeth Gilis wrote: >> Hi, >> >> I'm a PhD student from the University of Ghent, and I'm just >> starting to learn how to work with R. >> The initial aim is to analyse qPCR data with the package HTqPCR so >> I read quite a few manuals regarding the program R and HTqPCR. >> My problem is situated right at the beginning of the analysis, >> namely loading my data. >> I think I got it correctly that I first have to make a so-called >> "qPCRset" of my data? >> So just to begin easily, I made an Excel file with just 3 columns: >> Sample Name Cp >> A1 Actin 17 >> A2 Actin 18 >> A3 Actin 16 >> >> And saved it as a text file "test.qPCR.txt" to be able to import it. >> For this I downloaded "RStudio" and in this program I imported my >> dataset "test.qPCR.txt. >> (This is what is printed on the command line (not by me, but by the >> program RStudio): >>> test.qPCR <- read.delim("~/test.qPCR.txt", dec=",") > > It's not such a bad idea to make some fake data to practice with. > However, you have to first ensure that the data conform to what the > program expects. If you look at the help page for readCtData(), you > will see that the input file format can be one of many different > types. A close reading will indicate that the format you have chosen > for your fake data isn't one of them. > > There are often example scripts that are part of a help page that > you can run, and that holds true for this function. So if you type > > example("readCtData") > > at the R prompt, you will run the example data and get a qPCRset > that you can then play around with. You might also look at the > vignette for this package: > > http://bioconductor.org/packages/2.11/bioc/vignettes/HTqPCR/inst/doc /HTqPCR.pdf > > which looks pretty helpful to me. > > Best, > > Jim > > >> >> This was no problem at all, I actually get a nice data frame (when >> I type the command >class(test.qPCR) >> I get [1]"data.frame"). >> Then I loaded the package HTqPCR and at this point I'm stuck. >> I want to use my dataset that I imported to make a qPCRset, but I >> have no clue how to do it. >> I tried already some some commands, but they all give me errors, >> for example: >> >>> raw<-readCtData("test.qPCR.txt") >> Error in `[.data.frame`(sample, , column.info[["Ct"]]) : >> undefined columns selected >> In addition: Warning message: >> In .readCtPlain(readfile = readfile, header = header, n.features = >> n.features, : >> 384 gene names (rows) expected, got 4 >> >> >>> raw<-readCtData(test.qPCR) >> Error in read.table(file = file, header = header, sep = sep, quote >> = quote, : >> 'file' must be a character string or connection >> >> >>> raw<-readCtData(files:"test.qPCR",path=path,format="plain") >> Error in files:"test.qPCR" : NA/NaN argument >> In addition: Warning messages: >> 1: In files:"test.qPCR" : >> numerical expression has 2 elements: only the first used >> 2: In readCtData(files:"test.qPCR", path = path, format = "plain") : >> NAs introduced by coercion >> >> So I'm really stuck here, if somebody would help me to get started, >> I would be really grateful! >> Kind regards, >> Elisabeth Gilis, PhD student >> Department of Rheumatology >> Ghent University >> >> _______________________________________________ >> Bioconductor mailing list >> Bioconductor at r-project.org >> https://stat.ethz.ch/mailman/listinfo/bioconductor >> Search the archives: >> http://news.gmane.org/gmane.science.biology.informatics.conductor > > -- > James W. MacDonald, M.S. > Biostatistician > University of Washington > Environmental and Occupational Health Sciences > 4225 Roosevelt Way NE, # 100 > Seattle WA 98105-6099 -------------- next part -------------- Name Cp amActin-S1 17,56 amActin-S1 17,55 amActin-S2 16,43 amActin-S2 16,44 amActin-S3 18,1 amActin-S3 17,75 amActin-S4 18,02 amActin-S4 17,81 amActin-S5 17,87 amActin-S5 17,74 amActin-S6 17,07 amActin-S6 17,02 amActin-S7 19,65 amActin-S7 19,47 amActin-S8 19,64 amActin-S8 19,19 amActin-S9 17,11 amActin-S9 16,7 amActin-S10 17,06 amActin-S10 17,22 amActin-S11 18,02 amActin-S11 17,98 amActin-S12 17,6 amActin-S12 17,35 amActin-S13 16,17 amActin-S13 15,95 amActin-S14 16,51 amActin-S14 16,52 amActin-S15 17,24 amActin-S15 17,15 amActin-S16 17,01 amActin-S16 16,9 amActin-S17 15,85 amActin-S17 15,9 amActin-S18 15,98 amActin-S18 15,99 amActin-S19 17,92 amActin-S19 17,67 amActin-S20 18,5 amActin-S20 18,34 amActin-S21 16,92 amActin-S21 16,77 amActin-S22 17,45 amActin-S22 17,31 amActin-S23 17,82 amActin-S23 17,8 amActin-S24 17,21 amActin-S24 17,16 amActin-S25 15,9 amActin-S25 15,92 amActin-S26 16,15 amActin-S26 16 amActin-S27 17,94 amActin-S27 18,02 amActin-S28 18,5 amActin-S28 18,33 amActin-S29 15,96 amActin-S29 15,75 amActin-S30 15,94 amActin-S30 15,83 amActin-S31 17,04 amActin-S31 16,89 amActin-S32 17,06 amActin-S32 17,04 amActin-S33 16,58 amActin-S33 16,5 amActin-S34 16,34 amActin-S34 15,91 amActin-S35 16,54 amActin-S35 16,62 amActin-S36 16,02 amActin-S36 15,95 COL4A1-S1 21,32 COL4A1-S1 21,32 COL4A1-S2 19,77 COL4A1-S2 19,81 COL4A1-S3 21,12 COL4A1-S3 21,17 COL4A1-S4 21,67 COL4A1-S4 21,51 COL4A1-S5 21,15 COL4A1-S5 21,19 COL4A1-S6 20,59 COL4A1-S6 20,66 COL4A1-S7 22,22 COL4A1-S7 22,23 COL4A1-S8 22,06 COL4A1-S8 22,09 COL4A1-S9 20,02 COL4A1-S9 20,05 COL4A1-S10 20,27 COL4A1-S10 20,31 COL4A1-S11 20,91 COL4A1-S11 20,88 COL4A1-S12 20,66 COL4A1-S12 20,58 COL4A1-S13 19,53 COL4A1-S13 19,53 COL4A1-S14 20,26 COL4A1-S14 20,16 COL4A1-S15 20,49 COL4A1-S15 20,43 COL4A1-S16 20,56 COL4A1-S16 20,47 COL4A1-S17 19,03 COL4A1-S17 18,87 COL4A1-S18 19,16 COL4A1-S18 19,19 COL4A1-S19 20,83 COL4A1-S19 20,91 COL4A1-S20 21,49 COL4A1-S20 21,45 COL4A1-S21 20,03 COL4A1-S21 19,95 COL4A1-S22 20,75 COL4A1-S22 20,85 COL4A1-S23 20,97 COL4A1-S23 20,92 COL4A1-S24 20,47 COL4A1-S24 20,28 COL4A1-S25 19,48 COL4A1-S25 19,42 COL4A1-S26 19,69 COL4A1-S26 19,69 COL4A1-S27 21,13 COL4A1-S27 21,04 COL4A1-S28 21,46 COL4A1-S28 21,44 COL4A1-S29 19,25 COL4A1-S29 19,26 COL4A1-S30 19,08 COL4A1-S30 19,17 COL4A1-S31 20,23 COL4A1-S31 20,34 COL4A1-S32 20,65 COL4A1-S32 20,62 COL4A1-S33 20,14 COL4A1-S33 20,21 COL4A1-S34 19,48 COL4A1-S34 19,32 COL4A1-S35 20,16 COL4A1-S35 20,1 COL4A1-S36 19,73 COL4A1-S36 19,82 GAPDH-S1 18,32 GAPDH-S1 18,43 GAPDH-S2 17,44 GAPDH-S2 17,46 GAPDH-S3 18,56 GAPDH-S3 18,56 GAPDH-S4 18,82 GAPDH-S4 18,79 GAPDH-S5 18,2 GAPDH-S5 18,2 GAPDH-S6 17,66 GAPDH-S6 17,55 GAPDH-S7 19,1 GAPDH-S7 19,11 GAPDH-S8 18,95 GAPDH-S8 18,98 GAPDH-S9 18,3 GAPDH-S9 18,47 GAPDH-S10 18,5 GAPDH-S10 18,21 GAPDH-S11 19,05 GAPDH-S11 19,01 GAPDH-S12 18,7 GAPDH-S12 18,73 GAPDH-S13 17,55 GAPDH-S13 17,55 GAPDH-S14 17,78 GAPDH-S14 17,91 GAPDH-S15 18,03 GAPDH-S15 18,06 GAPDH-S16 18,04 GAPDH-S16 18,06 GAPDH-S17 16,65 GAPDH-S17 16,67 GAPDH-S18 16,79 GAPDH-S18 16,79 GAPDH-S19 18,07 GAPDH-S19 18,14 GAPDH-S20 18,62 GAPDH-S20 18,63 GAPDH-S21 18,42 GAPDH-S21 18,32 GAPDH-S22 18,74 GAPDH-S22 18,73 GAPDH-S23 19 GAPDH-S23 19 GAPDH-S24 18,62 GAPDH-S24 18,62 GAPDH-S25 17,24 GAPDH-S25 17,11 GAPDH-S26 17,3 GAPDH-S26 17,18 GAPDH-S27 18,07 GAPDH-S27 18,08 GAPDH-S28 18,3 GAPDH-S28 18,23 GAPDH-S29 17,45 GAPDH-S29 17,48 GAPDH-S30 17,33 GAPDH-S30 17,42 GAPDH-S31 18,32 GAPDH-S31 18,32 GAPDH-S32 18,43 GAPDH-S32 18,3 GAPDH-S33 17,83 GAPDH-S33 17,91 GAPDH-S34 17,24 GAPDH-S34 17,44 GAPDH-S35 17,84 GAPDH-S35 18 GAPDH-S36 17,54 GAPDH-S36 17,49 Actinb-S1 30,07 Actinb-S1 19,63 Actinb-S2 17,82 Actinb-S2 17,71 Actinb-S3 18,14 Actinb-S3 18,27 Actinb-S4 19,51 Actinb-S4 19,43 Actinb-S5 19,71 Actinb-S5 19,73 Actinb-S6 18,27 Actinb-S6 18,45 Actinb-S7 20,08 Actinb-S7 20,14 Actinb-S8 19,47 Actinb-S8 19,2 Actinb-S9 18,65 Actinb-S9 18,51 Actinb-S10 19,12 Actinb-S10 19,7 Actinb-S11 19,57 Actinb-S11 19,88 Actinb-S12 19,31 Actinb-S12 19,24 Actinb-S13 17,89 Actinb-S13 18,02 Actinb-S14 17,67 Actinb-S14 17,92 Actinb-S15 18,79 Actinb-S15 18,94 Actinb-S16 18,58 Actinb-S16 18,62 Actinb-S17 16,78 Actinb-S17 17,84 Actinb-S18 17,21 Actinb-S18 18,81 Actinb-S19 19,72 Actinb-S19 19,65 Actinb-S20 19,78 Actinb-S20 20,5 Actinb-S21 18,84 Actinb-S21 19,12 Actinb-S22 19,49 Actinb-S22 20 Actinb-S23 19,69 Actinb-S23 19,87 Actinb-S24 18,84 Actinb-S24 18,74 Actinb-S25 16,22 Actinb-S25 18,07 Actinb-S26 17,63 Actinb-S26 17,74 Actinb-S27 17,97 Actinb-S27 18,55 Actinb-S28 18,93 Actinb-S28 19,15 Actinb-S29 18,07 Actinb-S29 18,51 Actinb-S30 18,18 Actinb-S30 18,34 Actinb-S31 18,85 Actinb-S31 19,32 Actinb-S32 19,01 Actinb-S32 19,18 Actinb-S33 18,13 Actinb-S33 18,51 Actinb-S34 18,11 Actinb-S34 18,28 Actinb-S35 17,58 Actinb-S35 17,51 Actinb-S36 17,43 Actinb-S36 17,93 HPRT-S1 27,59 HPRT-S1 27,5 HPRT-S2 26,32 HPRT-S2 26,53 HPRT-S3 26,94 HPRT-S3 26,61 HPRT-S4 27,06 HPRT-S4 27,15 HPRT-S5 26,75 HPRT-S5 26,69 HPRT-S6 27,73 HPRT-S6 26,81 HPRT-S7 27,2 HPRT-S7 27,23 HPRT-S8 26,99 HPRT-S8 26,94 HPRT-S9 27,1 HPRT-S9 27,03 HPRT-S10 27,52 HPRT-S10 26,95 HPRT-S11 27,31 HPRT-S11 27,2 HPRT-S12 27,68 HPRT-S12 27,15 HPRT-S13 26,34 HPRT-S13 26,16 HPRT-S14 27,04 HPRT-S14 27,25 HPRT-S15 26,82 HPRT-S15 26,32 HPRT-S16 27,58 HPRT-S16 27,29 HPRT-S17 25,87 HPRT-S17 26,28 HPRT-S18 26,89 HPRT-S18 26,53 HPRT-S19 27,46 HPRT-S19 26,78 HPRT-S20 26,79 HPRT-S20 26,71 HPRT-S21 28,02 HPRT-S21 27,41 HPRT-S22 27,75 HPRT-S22 27,48 HPRT-S23 27,57 HPRT-S23 27,17 HPRT-S24 27,04 HPRT-S24 26,61 HPRT-S25 27,06 HPRT-S25 26,49 HPRT-S26 26,26 HPRT-S26 25,66 HPRT-S27 26,76 HPRT-S27 26,49 HPRT-S28 26,79 HPRT-S28 26,88 HPRT-S29 26,94 HPRT-S29 26,31 HPRT-S30 26,22 HPRT-S30 25,85 HPRT-S31 26,7 HPRT-S31 26,85 HPRT-S32 27,17 HPRT-S32 26,82 HPRT-S33 27,06 HPRT-S33 26,74 HPRT-S34 26,53 HPRT-S34 25,99 HPRT-S35 26,79 HPRT-S35 26,84 HPRT-S36 26,43 HPRT-S36 25,91
ADD REPLYlink written 4.8 years ago by Elisabeth Gilis20
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