xps - number of probesets for HuGene10ST array
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@michael-walter-3141
Last seen 10.2 years ago
Dear List, I have another question with the xps package. I installed root and xps, created the root schemes for the HuGene1.0 array and imported the first CEL files following the example scripts. Everything works fine to that point. However, after RMA normalization I'm missing a couple of probesets. When I use the Affymetrix expression console you get 33297 probesets. 4201 of these are +ve and -ve controls leaving 29096 probesets. With the xps package I have 28926 probesets with only 57 controls. Thus I'm missing 4371 and 227 probeset, respectively. I already checked the archives and found a similar question. However, the number of probesets i get is with exonlevel="all". I attached the code and session info below. My question now is: Where are the missing probesets, since I use the very same plg and clf files for xps and expression console? Thanks for your thoughts, Michael R code: library(xps) xpsdir = "C:/xps" scmdir=paste(xpsdir, "schemes", sep="/") libdir= paste(xpsdir, "library/HuGene10ST", sep="/") anndir= paste(xpsdir, "annotation", sep="/") scheme.hugene10stv1r4.na27 <- import.exon.scheme( "Scheme_HuGene10stv1r4_na27_2", filedir=scmdir, layoutfile=paste(libdir,"HuGene-1_0-st-v1.r4.clf",sep="/"), schemefile=paste(libdir,"HuGene-1_0-st-v1.r4.pgf",sep="/"), probeset=paste(anndir,"HuGene- 1_0-st-v1.na27.2.hg18.probeset.csv",sep="/"), transcript=paste(anndir,"HuGene- 1_0-st-v1.na27.hg18.transcript.csv",sep="/"), verbose=TRUE) celdir <- getwd() scheme.HuGene10 <- root.scheme(paste("C:/xps/schemes","Scheme_HuGene10 stv1r4_na27_2.root",sep="/")) data.test <- import.data(scheme.HuGene10, "DataTest", celdir=celdir) str(data.test) data.test2 <- attachMask(data.test) data.test2 <- attachInten(data.test) data.test2 <- removeInten(data.test2) data.test2 <- removeMask(data.test2) data.rma <- rma(data.test2, "tmpdt_Test2RMA", background="antigenomic", normalize=T, exonlevel="all", verbose = FALSE) expr.rma <- validData(data.rma) call.dabg <- dabg.call(data.test2, "tmpdt_Test2DABG",exonlevel="all", verbose = FALSE) Session Info: R version 2.8.1 (2008-12-22) i386-pc-mingw32 locale: LC_COLLATE=German_Germany.1252;LC_CTYPE=German_Germany.1252;LC_MONETAR Y=German_Germany.1252;LC_NUMERIC=C;LC_TIME=German_Germany.1252 attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] xps_1.2.6 -- Dr. Michael Walter The Microarray Facility University of Tuebingen Calwerstr. 7 72076 T?bingen/GERMANY Tel.: +49 (0) 7071 29 83210 Fax. + 49 (0) 7071 29 5228 Confidentiality Note:\ This message is intended only for...{{dropped:9}}
Microarray Normalization xps Microarray Normalization xps • 1.4k views
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cstrato ★ 3.9k
@cstrato-908
Last seen 6.2 years ago
Austria
Dear Michael When you look at the annotation file "HuGene-1_0-st-v1.na27.hg18.transcript.csv" you will see that it contains in total 33297 probesets, which are divided as follows: 28869 "main" 57 "control->affx" 45 "control->bgp->antigenomic" 1195 "normgene->exon" 2904 "normgene->intron" 227 "rescue->FLmRNA->unmapped" For further analysis, e.g. rma, only "main" and "affx" are used resulting in 28926 probesets, which is the number of probesets you mention. Best regards Christian _._._._._._._._._._._._._._._._._._ C.h.r.i.s.t.i.a.n S.t.r.a.t.o.w.a V.i.e.n.n.a A.u.s.t.r.i.a e.m.a.i.l: cstrato at aon.at _._._._._._._._._._._._._._._._._._ Michael Walter wrote: > Dear List, > > I have another question with the xps package. I installed root and xps, created the root schemes for the HuGene1.0 array and imported the first CEL files following the example scripts. Everything works fine to that point. However, after RMA normalization I'm missing a couple of probesets. When I use the Affymetrix expression console you get 33297 probesets. 4201 of these are +ve and -ve controls leaving 29096 probesets. With the xps package I have 28926 probesets with only 57 controls. Thus I'm missing 4371 and 227 probeset, respectively. I already checked the archives and found a similar question. However, the number of probesets i get is with exonlevel="all". I attached the code and session info below. My question now is: Where are the missing probesets, since I use the very same plg and clf files for xps and expression console? > > Thanks for your thoughts, > > Michael > > > R code: > > library(xps) > > xpsdir = "C:/xps" > scmdir=paste(xpsdir, "schemes", sep="/") > libdir= paste(xpsdir, "library/HuGene10ST", sep="/") > anndir= paste(xpsdir, "annotation", sep="/") > > > scheme.hugene10stv1r4.na27 <- import.exon.scheme( > "Scheme_HuGene10stv1r4_na27_2", > filedir=scmdir, > layoutfile=paste(libdir,"HuGene-1_0-st-v1.r4.clf",sep="/"), > schemefile=paste(libdir,"HuGene-1_0-st-v1.r4.pgf",sep="/"), > probeset=paste(anndir,"HuGene- 1_0-st-v1.na27.2.hg18.probeset.csv",sep="/"), > transcript=paste(anndir,"HuGene- 1_0-st-v1.na27.hg18.transcript.csv",sep="/"), > verbose=TRUE) > > celdir <- getwd() > > scheme.HuGene10 <- root.scheme(paste("C:/xps/schemes","Scheme_HuGene 10stv1r4_na27_2.root",sep="/")) > data.test <- import.data(scheme.HuGene10, "DataTest", celdir=celdir) > str(data.test) > > data.test2 <- attachMask(data.test) > data.test2 <- attachInten(data.test) > > data.test2 <- removeInten(data.test2) > data.test2 <- removeMask(data.test2) > > data.rma <- rma(data.test2, "tmpdt_Test2RMA", background="antigenomic", normalize=T, > exonlevel="all", verbose = FALSE) > > expr.rma <- validData(data.rma) > > call.dabg <- dabg.call(data.test2, "tmpdt_Test2DABG",exonlevel="all", verbose = FALSE) > > Session Info: > > R version 2.8.1 (2008-12-22) > i386-pc-mingw32 > > locale: > LC_COLLATE=German_Germany.1252;LC_CTYPE=German_Germany.1252;LC_MONET ARY=German_Germany.1252;LC_NUMERIC=C;LC_TIME=German_Germany.1252 > > attached base packages: > [1] stats graphics grDevices utils datasets methods base > > other attached packages: > [1] xps_1.2.6 > >
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@michael-walter-3141
Last seen 10.2 years ago
Dear Christian, Thanks for your reply. That makes things clear. I was missing the unmapped FLmRNAs. However, is there a way to get also the summarized signals for the control probes? Affy is recommending ROCs between positive and negative controls for QC and I'd like to calculate this directly in Bioconductor. Thanks again, Michael > -----Urspr?ngliche Nachricht----- > Von: "cstrato" <cstrato at="" aon.at=""> > Gesendet: 15.05.09 20:57:05 > An: Michael Walter <michael.walter at="" med.uni-tuebingen.de=""> > CC: bioconductor at stat.math.ethz.ch > Betreff: Re: [BioC] xps - number of probesets for HuGene10ST array > Dear Michael > > When you look at the annotation file > "HuGene-1_0-st-v1.na27.hg18.transcript.csv" you will see that it > contains in total 33297 probesets, which are divided as follows: > > 28869 "main" > 57 "control->affx" > 45 "control->bgp->antigenomic" > 1195 "normgene->exon" > 2904 "normgene->intron" > 227 "rescue->FLmRNA->unmapped" > > For further analysis, e.g. rma, only "main" and "affx" are used > resulting in 28926 probesets, which is the number of probesets you mention. > > Best regards > Christian > _._._._._._._._._._._._._._._._._._ > C.h.r.i.s.t.i.a.n S.t.r.a.t.o.w.a > V.i.e.n.n.a A.u.s.t.r.i.a > e.m.a.i.l: cstrato at aon.at > _._._._._._._._._._._._._._._._._._ > > > Michael Walter wrote: > > Dear List, > > > > I have another question with the xps package. I installed root and xps, created the root schemes for the HuGene1.0 array and imported the first CEL files following the example scripts. Everything works fine to that point. However, after RMA normalization I'm missing a couple of probesets. When I use the Affymetrix expression console you get 33297 probesets. 4201 of these are +ve and -ve controls leaving 29096 probesets. With the xps package I have 28926 probesets with only 57 controls. Thus I'm missing 4371 and 227 probeset, respectively. I already checked the archives and found a similar question. However, the number of probesets i get is with exonlevel="all". I attached the code and session info below. My question now is: Where are the missing probesets, since I use the very same plg and clf files for xps and expression console? > > > > Thanks for your thoughts, > > > > Michael > > > > > > R code: > > > > library(xps) > > > > xpsdir = "C:/xps" > > scmdir=paste(xpsdir, "schemes", sep="/") > > libdir= paste(xpsdir, "library/HuGene10ST", sep="/") > > anndir= paste(xpsdir, "annotation", sep="/") > > > > > > scheme.hugene10stv1r4.na27 <- import.exon.scheme( > > "Scheme_HuGene10stv1r4_na27_2", > > filedir=scmdir, > > layoutfile=paste(libdir,"HuGene-1_0-st-v1.r4.clf",sep="/"), > > schemefile=paste(libdir,"HuGene-1_0-st-v1.r4.pgf",sep="/"), > > probeset=paste(anndir,"HuGene- 1_0-st-v1.na27.2.hg18.probeset.csv",sep="/"), > > transcript=paste(anndir,"HuGene- 1_0-st-v1.na27.hg18.transcript.csv",sep="/"), > > verbose=TRUE) > > > > celdir <- getwd() > > > > scheme.HuGene10 <- root.scheme(paste("C:/xps/schemes","Scheme_HuGe ne10stv1r4_na27_2.root",sep="/")) > > data.test <- import.data(scheme.HuGene10, "DataTest", celdir=celdir) > > str(data.test) > > > > data.test2 <- attachMask(data.test) > > data.test2 <- attachInten(data.test) > > > > data.test2 <- removeInten(data.test2) > > data.test2 <- removeMask(data.test2) > > > > data.rma <- rma(data.test2, "tmpdt_Test2RMA", background="antigenomic", normalize=T, > > exonlevel="all", verbose = FALSE) > > > > expr.rma <- validData(data.rma) > > > > call.dabg <- dabg.call(data.test2, "tmpdt_Test2DABG",exonlevel="all", verbose = FALSE) > > > > Session Info: > > > > R version 2.8.1 (2008-12-22) > > i386-pc-mingw32 > > > > locale: > > LC_COLLATE=German_Germany.1252;LC_CTYPE=German_Germany.1252;LC_MON ETARY=German_Germany.1252;LC_NUMERIC=C;LC_TIME=German_Germany.1252 > > > > attached base packages: > > [1] stats graphics grDevices utils datasets methods base > > > > other attached packages: > > [1] xps_1.2.6 > > > > > > _______________________________________________ > Bioconductor mailing list > Bioconductor at stat.math.ethz.ch > https://stat.ethz.ch/mailman/listinfo/bioconductor > Search the archives: http://news.gmane.org/gmane.science.biology.informatics.conductor > -- Dr. Michael Walter The Microarray Facility University of Tuebingen Calwerstr. 7 72076 T?bingen/GERMANY Tel.: +49 (0) 7071 29 83210 Fax. + 49 (0) 7071 29 5228 Confidentiality Note:\ This message is intended only for...{{dropped:9}}
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Dear Michael If you really want to compute unmapped FLmRNAs and pos/neg controls together with "core+affx" probesets, you can do: data.rma <- rma(data.genome, "HuGeneMixRMA926780", filedir=datdir, tmpdir="", background="antigenomic", normalize=T, exonlevel=c(926780,926780,926780)) export.expr(data.rma, outfile="HuGeneMixRMA926780.txt") Until now this was an undocumented feature since I do not recommend to use these probesets, because in my opinion they will only add noise to the "core" probesets. However, in the new version "xps_1.4.3" I have updated the help "?exonLevel", which shows you which numbers to add for the different combinations. In principle, it is now also possible to use all 33297 probesets, including the antigenomic probesets by setting "exonlevel=c(992316,992316,992316)". However, in this case you need to update to "xps_1.4.3", otherwise you will get a bus error. Best regards Christian Michael Walter wrote: > Dear Christian, > > Thanks for your reply. That makes things clear. I was missing the unmapped FLmRNAs. However, is there a way to get also the summarized signals for the control probes? Affy is recommending ROCs between positive and negative controls for QC and I'd like to calculate this directly in Bioconductor. > > Thanks again, > > Michael > > >> -----Urspr?ngliche Nachricht----- >> Von: "cstrato" <cstrato at="" aon.at=""> >> Gesendet: 15.05.09 20:57:05 >> An: Michael Walter <michael.walter at="" med.uni-tuebingen.de=""> >> CC: bioconductor at stat.math.ethz.ch >> Betreff: Re: [BioC] xps - number of probesets for HuGene10ST array >> > > > >> Dear Michael >> >> When you look at the annotation file >> "HuGene-1_0-st-v1.na27.hg18.transcript.csv" you will see that it >> contains in total 33297 probesets, which are divided as follows: >> >> 28869 "main" >> 57 "control->affx" >> 45 "control->bgp->antigenomic" >> 1195 "normgene->exon" >> 2904 "normgene->intron" >> 227 "rescue->FLmRNA->unmapped" >> >> For further analysis, e.g. rma, only "main" and "affx" are used >> resulting in 28926 probesets, which is the number of probesets you mention. >> >> Best regards >> Christian >> _._._._._._._._._._._._._._._._._._ >> C.h.r.i.s.t.i.a.n S.t.r.a.t.o.w.a >> V.i.e.n.n.a A.u.s.t.r.i.a >> e.m.a.i.l: cstrato at aon.at >> _._._._._._._._._._._._._._._._._._ >> >> >> Michael Walter wrote: >> >>> Dear List, >>> >>> I have another question with the xps package. I installed root and xps, created the root schemes for the HuGene1.0 array and imported the first CEL files following the example scripts. Everything works fine to that point. However, after RMA normalization I'm missing a couple of probesets. When I use the Affymetrix expression console you get 33297 probesets. 4201 of these are +ve and -ve controls leaving 29096 probesets. With the xps package I have 28926 probesets with only 57 controls. Thus I'm missing 4371 and 227 probeset, respectively. I already checked the archives and found a similar question. However, the number of probesets i get is with exonlevel="all". I attached the code and session info below. My question now is: Where are the missing probesets, since I use the very same plg and clf files for xps and expression console? >>> >>> Thanks for your thoughts, >>> >>> Michael >>> >>> >>> R code: >>> >>> library(xps) >>> >>> xpsdir = "C:/xps" >>> scmdir=paste(xpsdir, "schemes", sep="/") >>> libdir= paste(xpsdir, "library/HuGene10ST", sep="/") >>> anndir= paste(xpsdir, "annotation", sep="/") >>> >>> >>> scheme.hugene10stv1r4.na27 <- import.exon.scheme( >>> "Scheme_HuGene10stv1r4_na27_2", >>> filedir=scmdir, >>> layoutfile=paste(libdir,"HuGene-1_0-st-v1.r4.clf",sep="/"), >>> schemefile=paste(libdir,"HuGene-1_0-st-v1.r4.pgf",sep="/"), >>> probeset=paste(anndir,"HuGene- 1_0-st-v1.na27.2.hg18.probeset.csv",sep="/"), >>> transcript=paste(anndir,"HuGene- 1_0-st-v1.na27.hg18.transcript.csv",sep="/"), >>> verbose=TRUE) >>> >>> celdir <- getwd() >>> >>> scheme.HuGene10 <- root.scheme(paste("C:/xps/schemes","Scheme_HuGe ne10stv1r4_na27_2.root",sep="/")) >>> data.test <- import.data(scheme.HuGene10, "DataTest", celdir=celdir) >>> str(data.test) >>> >>> data.test2 <- attachMask(data.test) >>> data.test2 <- attachInten(data.test) >>> >>> data.test2 <- removeInten(data.test2) >>> data.test2 <- removeMask(data.test2) >>> >>> data.rma <- rma(data.test2, "tmpdt_Test2RMA", background="antigenomic", normalize=T, >>> exonlevel="all", verbose = FALSE) >>> >>> expr.rma <- validData(data.rma) >>> >>> call.dabg <- dabg.call(data.test2, "tmpdt_Test2DABG",exonlevel="all", verbose = FALSE) >>> >>> Session Info: >>> >>> R version 2.8.1 (2008-12-22) >>> i386-pc-mingw32 >>> >>> locale: >>> LC_COLLATE=German_Germany.1252;LC_CTYPE=German_Germany.1252;LC_MON ETARY=German_Germany.1252;LC_NUMERIC=C;LC_TIME=German_Germany.1252 >>> >>> attached base packages: >>> [1] stats graphics grDevices utils datasets methods base >>> >>> other attached packages: >>> [1] xps_1.2.6 >>> >>> >>> >> _______________________________________________ >> Bioconductor mailing list >> Bioconductor at stat.math.ethz.ch >> https://stat.ethz.ch/mailman/listinfo/bioconductor >> Search the archives: http://news.gmane.org/gmane.science.biology.informatics.conductor >> >> > >
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@michael-walter-3141
Last seen 10.2 years ago
Hello Christian, Thank you very much for you help. It works fine. Michael > -----Urspr?ngliche Nachricht----- > Von: "cstrato" <cstrato at="" aon.at=""> > Gesendet: 19.05.09 21:53:32 > An: Michael Walter <michael.walter at="" med.uni-tuebingen.de=""> > CC: bioconductor at stat.math.ethz.ch > Betreff: Re: [BioC] xps - number of probesets for HuGene10ST array > Dear Michael > > If you really want to compute unmapped FLmRNAs and pos/neg controls > together with "core+affx" probesets, you can do: > > data.rma <- rma(data.genome, "HuGeneMixRMA926780", filedir=datdir, > tmpdir="", background="antigenomic", normalize=T, > exonlevel=c(926780,926780,926780)) > export.expr(data.rma, outfile="HuGeneMixRMA926780.txt") > > Until now this was an undocumented feature since I do not recommend to > use these probesets, because in my opinion they will only add noise to > the "core" probesets. However, in the new version "xps_1.4.3" I have > updated the help "?exonLevel", which shows you which numbers to add for > the different combinations. > > In principle, it is now also possible to use all 33297 probesets, > including the antigenomic probesets by setting > "exonlevel=c(992316,992316,992316)". However, in this case you need to > update to "xps_1.4.3", otherwise you will get a bus error. > > Best regards > Christian > > > Michael Walter wrote: > > Dear Christian, > > > > Thanks for your reply. That makes things clear. I was missing the unmapped FLmRNAs. However, is there a way to get also the summarized signals for the control probes? Affy is recommending ROCs between positive and negative controls for QC and I'd like to calculate this directly in Bioconductor. > > > > Thanks again, > > > > Michael > > > > > >> -----Urspr?ngliche Nachricht----- > >> Von: "cstrato" <cstrato at="" aon.at=""> > >> Gesendet: 15.05.09 20:57:05 > >> An: Michael Walter <michael.walter at="" med.uni-tuebingen.de=""> > >> CC: bioconductor at stat.math.ethz.ch > >> Betreff: Re: [BioC] xps - number of probesets for HuGene10ST array > >> > > > > > > > >> Dear Michael > >> > >> When you look at the annotation file > >> "HuGene-1_0-st-v1.na27.hg18.transcript.csv" you will see that it > >> contains in total 33297 probesets, which are divided as follows: > >> > >> 28869 "main" > >> 57 "control->affx" > >> 45 "control->bgp->antigenomic" > >> 1195 "normgene->exon" > >> 2904 "normgene->intron" > >> 227 "rescue->FLmRNA->unmapped" > >> > >> For further analysis, e.g. rma, only "main" and "affx" are used > >> resulting in 28926 probesets, which is the number of probesets you mention. > >> > >> Best regards > >> Christian > >> _._._._._._._._._._._._._._._._._._ > >> C.h.r.i.s.t.i.a.n S.t.r.a.t.o.w.a > >> V.i.e.n.n.a A.u.s.t.r.i.a > >> e.m.a.i.l: cstrato at aon.at > >> _._._._._._._._._._._._._._._._._._ > >> > >> > >> Michael Walter wrote: > >> > >>> Dear List, > >>> > >>> I have another question with the xps package. I installed root and xps, created the root schemes for the HuGene1.0 array and imported the first CEL files following the example scripts. Everything works fine to that point. However, after RMA normalization I'm missing a couple of probesets. When I use the Affymetrix expression console you get 33297 probesets. 4201 of these are +ve and -ve controls leaving 29096 probesets. With the xps package I have 28926 probesets with only 57 controls. Thus I'm missing 4371 and 227 probeset, respectively. I already checked the archives and found a similar question. However, the number of probesets i get is with exonlevel="all". I attached the code and session info below. My question now is: Where are the missing probesets, since I use the very same plg and clf files for xps and expression console? > >>> > >>> Thanks for your thoughts, > >>> > >>> Michael > >>> > >>> > >>> R code: > >>> > >>> library(xps) > >>> > >>> xpsdir = "C:/xps" > >>> scmdir=paste(xpsdir, "schemes", sep="/") > >>> libdir= paste(xpsdir, "library/HuGene10ST", sep="/") > >>> anndir= paste(xpsdir, "annotation", sep="/") > >>> > >>> > >>> scheme.hugene10stv1r4.na27 <- import.exon.scheme( > >>> "Scheme_HuGene10stv1r4_na27_2", > >>> filedir=scmdir, > >>> layoutfile=paste(libdir,"HuGene-1_0-st-v1.r4.clf",sep="/"), > >>> schemefile=paste(libdir,"HuGene-1_0-st-v1.r4.pgf",sep="/"), > >>> probeset=paste(anndir,"HuGene- 1_0-st-v1.na27.2.hg18.probeset.csv",sep="/"), > >>> transcript=paste(anndir,"HuGene- 1_0-st-v1.na27.hg18.transcript.csv",sep="/"), > >>> verbose=TRUE) > >>> > >>> celdir <- getwd() > >>> > >>> scheme.HuGene10 <- root.scheme(paste("C:/xps/schemes","Scheme_Hu Gene10stv1r4_na27_2.root",sep="/")) > >>> data.test <- import.data(scheme.HuGene10, "DataTest", celdir=celdir) > >>> str(data.test) > >>> > >>> data.test2 <- attachMask(data.test) > >>> data.test2 <- attachInten(data.test) > >>> > >>> data.test2 <- removeInten(data.test2) > >>> data.test2 <- removeMask(data.test2) > >>> > >>> data.rma <- rma(data.test2, "tmpdt_Test2RMA", background="antigenomic", normalize=T, > >>> exonlevel="all", verbose = FALSE) > >>> > >>> expr.rma <- validData(data.rma) > >>> > >>> call.dabg <- dabg.call(data.test2, "tmpdt_Test2DABG",exonlevel="all", verbose = FALSE) > >>> > >>> Session Info: > >>> > >>> R version 2.8.1 (2008-12-22) > >>> i386-pc-mingw32 > >>> > >>> locale: > >>> LC_COLLATE=German_Germany.1252;LC_CTYPE=German_Germany.1252;LC_M ONETARY=German_Germany.1252;LC_NUMERIC=C;LC_TIME=German_Germany.1252 > >>> > >>> attached base packages: > >>> [1] stats graphics grDevices utils datasets methods base > >>> > >>> other attached packages: > >>> [1] xps_1.2.6 > >>> > >>> > >>> > >> _______________________________________________ > >> Bioconductor mailing list > >> Bioconductor at stat.math.ethz.ch > >> https://stat.ethz.ch/mailman/listinfo/bioconductor > >> Search the archives: http://news.gmane.org/gmane.science.biology.informatics.conductor > >> > >> > > > > > > _______________________________________________ > Bioconductor mailing list > Bioconductor at stat.math.ethz.ch > https://stat.ethz.ch/mailman/listinfo/bioconductor > Search the archives: http://news.gmane.org/gmane.science.biology.informatics.conductor > --? Dr.?Michael?Walter The?Microarray?Facility University?of?Tuebingen Calwerstr.?7 72076??T?bingen/GERMANY Tel.:?+49?(0)?7071?29?83210 Fax.?+?49?(0)?7071?29?5228 Confidentiality?Note: This?message?is?intended?only?for?the?use?of?the?named?recipient(s)?an d?may contain?confidential?and/or?proprietary?information.?If?you?are?not?th e?intended recipient,?please?contact?the?sender?and?delete?the?message.?Any?unaut horized use?of?the?information?contained?in?this?message?is?prohibited
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