DESeq2 stuck running
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It is the exciting news of the coming of DESeq2. There are many updates and incorporation with other software, e.g., Wald test and cqn. My question is the nbinomWaldTest may stuck running for long time when using multiple factors, e.g., running several days but no results or messages coming out. It works well when I remove the "type" factor. I paste the meta data in the following: condition type S103 W U S149 W Y S114 W Y S98 K U S92 K U S159 K Y Thanks. -- output of sessionInfo(): > sessionInfo() R version 3.1.0 (2014-04-10) Platform: x86_64-unknown-linux-gnu (64-bit) locale: [1] C attached base packages: [1] splines parallel stats graphics grDevices utils datasets [8] methods base other attached packages: [1] cqn_1.10.0 quantreg_5.05 SparseM_1.03 [4] preprocessCore_1.26.0 nor1mix_1.1-4 mclust_4.3 [7] DESeq2_1.4.1 RcppArmadillo_0.4.300.0 Rcpp_0.11.1 [10] GenomicRanges_1.16.2 GenomeInfoDb_1.0.2 IRanges_1.22.4 [13] BiocGenerics_0.10.0 loaded via a namespace (and not attached): [1] AnnotationDbi_1.26.0 Biobase_2.24.0 DBI_0.2-7 [4] RColorBrewer_1.0-5 RSQLite_0.11.4 XML_3.98-1.1 [7] XVector_0.4.0 annotate_1.42.0 genefilter_1.46.0 [10] geneplotter_1.42.0 grid_3.1.0 lattice_0.20-29 [13] locfit_1.5-9.1 stats4_3.1.0 survival_2.37-7 [16] xtable_1.7-3 -- Sent via the guest posting facility at bioconductor.org.
cqn DESeq2 cqn DESeq2 • 2.3k views
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@mikelove
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hi Mingfeng, With 6 samples, this is typically seconds to run. If it's taking longer than a few minutes, usually this means something is wrong. Could you make a small reproducible example and send me data and a script? If this is not possible, I'd need some more information, like the code you are using, the design, the normalization factor matrix, etc. Mike On Fri, May 9, 2014 at 3:14 PM, Mingfeng [guest] <guest@bioconductor.org>wrote: > > It is the exciting news of the coming of DESeq2. > There are many updates and incorporation with other software, e.g., Wald > test and cqn. > My question is the nbinomWaldTest may stuck running for long time when > using multiple factors, e.g., running several days but no results or > messages coming out. It works well when I remove the "type" factor. > I paste the meta data in the following: > condition type > S103 W U > S149 W Y > S114 W Y > S98 K U > S92 K U > S159 K Y > > > > > > > Thanks. > > > > > -- output of sessionInfo(): > > > sessionInfo() > R version 3.1.0 (2014-04-10) > Platform: x86_64-unknown-linux-gnu (64-bit) > > locale: > [1] C > > attached base packages: > [1] splines parallel stats graphics grDevices utils datasets > [8] methods base > > other attached packages: > [1] cqn_1.10.0 quantreg_5.05 SparseM_1.03 > [4] preprocessCore_1.26.0 nor1mix_1.1-4 mclust_4.3 > [7] DESeq2_1.4.1 RcppArmadillo_0.4.300.0 Rcpp_0.11.1 > [10] GenomicRanges_1.16.2 GenomeInfoDb_1.0.2 IRanges_1.22.4 > [13] BiocGenerics_0.10.0 > > loaded via a namespace (and not attached): > [1] AnnotationDbi_1.26.0 Biobase_2.24.0 DBI_0.2-7 > [4] RColorBrewer_1.0-5 RSQLite_0.11.4 XML_3.98-1.1 > [7] XVector_0.4.0 annotate_1.42.0 genefilter_1.46.0 > [10] geneplotter_1.42.0 grid_3.1.0 lattice_0.20-29 > [13] locfit_1.5-9.1 stats4_3.1.0 survival_2.37-7 > [16] xtable_1.7-3 > > -- > Sent via the guest posting facility at bioconductor.org. > [[alternative HTML version deleted]]
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Hi Mike, Thanks your so fast response. I would like to send you one example in Rdata. You can get the information of the design, the normalization factor matrix. please reproduce the following codes: library("DESeq2") load("tmpFile.Rdata") ddsMF = nbinomWaldTest(ddsMF); Best, Mingfeng On Fri, May 9, 2014 at 4:12 PM, Michael Love <michaelisaiahlove at="" gmail.com="">wrote: > hi Mingfeng, > > With 6 samples, this is typically seconds to run. If it's taking longer > than a few minutes, usually this means something is wrong. Could you make a > small reproducible example and send me data and a script? If this is not > possible, I'd need some more information, like the code you are using, the > design, the normalization factor matrix, etc. > > Mike > > > On Fri, May 9, 2014 at 3:14 PM, Mingfeng [guest] <guest at="" bioconductor.org="">wrote: > >> >> It is the exciting news of the coming of DESeq2. >> There are many updates and incorporation with other software, e.g., Wald >> test and cqn. >> My question is the nbinomWaldTest may stuck running for long time when >> using multiple factors, e.g., running several days but no results or >> messages coming out. It works well when I remove the "type" factor. >> I paste the meta data in the following: >> condition type >> S103 W U >> S149 W Y >> S114 W Y >> S98 K U >> S92 K U >> S159 K Y >> >> >> >> >> >> >> Thanks. >> >> >> >> >> -- output of sessionInfo(): >> >> > sessionInfo() >> R version 3.1.0 (2014-04-10) >> Platform: x86_64-unknown-linux-gnu (64-bit) >> >> locale: >> [1] C >> >> attached base packages: >> [1] splines parallel stats graphics grDevices utils datasets >> [8] methods base >> >> other attached packages: >> [1] cqn_1.10.0 quantreg_5.05 SparseM_1.03 >> [4] preprocessCore_1.26.0 nor1mix_1.1-4 mclust_4.3 >> [7] DESeq2_1.4.1 RcppArmadillo_0.4.300.0 Rcpp_0.11.1 >> [10] GenomicRanges_1.16.2 GenomeInfoDb_1.0.2 IRanges_1.22.4 >> [13] BiocGenerics_0.10.0 >> >> loaded via a namespace (and not attached): >> [1] AnnotationDbi_1.26.0 Biobase_2.24.0 DBI_0.2-7 >> [4] RColorBrewer_1.0-5 RSQLite_0.11.4 XML_3.98-1.1 >> [7] XVector_0.4.0 annotate_1.42.0 genefilter_1.46.0 >> [10] geneplotter_1.42.0 grid_3.1.0 lattice_0.20-29 >> [13] locfit_1.5-9.1 stats4_3.1.0 survival_2.37-7 >> [16] xtable_1.7-3 >> >> -- >> Sent via the guest posting facility at bioconductor.org. >> > > -- ********************************************* Mingfeng Li, Ph.D. Postdoctoral Associate Department of Neurobiology Yale University School of Medicine 333 Cedar Street, SHM C-327C New Haven, CT 06510 E-mail: mingfeng.li at yale.edu Lab: (203) 785-5941 Lab website: www.sestanlab.org *********************************************
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hi Mingfeng, Thanks for reporting this and sending the example. I found the bug that produced this hang, and just pushed v1.4.4 (available in 1 day on Bioc), which fixes this: > library(DESeq2) > load("~/Downloads/tmpFile.Rdata") > system.time({nbinomWaldTest(ddsMF)}) user system elapsed 14.841 0.777 15.634 # or the whole pipeline: > system.time({DESeq(ddsMF)}) using pre-existing normalization factors estimating dispersions you had estimated dispersions, replacing these gene-wise dispersion estimates mean-dispersion relationship final dispersion estimates fitting model and testing user system elapsed 38.768 1.457 40.240 Mike On Fri, May 9, 2014 at 5:38 PM, Mingfeng Li <mingfeng.li at="" yale.edu=""> wrote: > Hi Mike, > > Thanks your so fast response. I would like to send you one example in Rdata. > You can get the information of the design, the normalization factor matrix. > please reproduce the following codes: > library("DESeq2") > load("tmpFile.Rdata") > ddsMF = nbinomWaldTest(ddsMF); > > > Best, > Mingfeng > > > > > On Fri, May 9, 2014 at 4:12 PM, Michael Love <michaelisaiahlove at="" gmail.com=""> > wrote: >> >> hi Mingfeng, >> >> With 6 samples, this is typically seconds to run. If it's taking longer >> than a few minutes, usually this means something is wrong. Could you make a >> small reproducible example and send me data and a script? If this is not >> possible, I'd need some more information, like the code you are using, the >> design, the normalization factor matrix, etc. >> >> Mike >> >> >> On Fri, May 9, 2014 at 3:14 PM, Mingfeng [guest] <guest at="" bioconductor.org=""> >> wrote: >>> >>> >>> It is the exciting news of the coming of DESeq2. >>> There are many updates and incorporation with other software, e.g., Wald >>> test and cqn. >>> My question is the nbinomWaldTest may stuck running for long time when >>> using multiple factors, e.g., running several days but no results or >>> messages coming out. It works well when I remove the "type" factor. >>> I paste the meta data in the following: >>> condition type >>> S103 W U >>> S149 W Y >>> S114 W Y >>> S98 K U >>> S92 K U >>> S159 K Y >>> >>> >>> >>> >>> >>> >>> Thanks. >>> >>> >>> >>> >>> -- output of sessionInfo(): >>> >>> > sessionInfo() >>> R version 3.1.0 (2014-04-10) >>> Platform: x86_64-unknown-linux-gnu (64-bit) >>> >>> locale: >>> [1] C >>> >>> attached base packages: >>> [1] splines parallel stats graphics grDevices utils datasets >>> [8] methods base >>> >>> other attached packages: >>> [1] cqn_1.10.0 quantreg_5.05 SparseM_1.03 >>> [4] preprocessCore_1.26.0 nor1mix_1.1-4 mclust_4.3 >>> [7] DESeq2_1.4.1 RcppArmadillo_0.4.300.0 Rcpp_0.11.1 >>> [10] GenomicRanges_1.16.2 GenomeInfoDb_1.0.2 IRanges_1.22.4 >>> [13] BiocGenerics_0.10.0 >>> >>> loaded via a namespace (and not attached): >>> [1] AnnotationDbi_1.26.0 Biobase_2.24.0 DBI_0.2-7 >>> [4] RColorBrewer_1.0-5 RSQLite_0.11.4 XML_3.98-1.1 >>> [7] XVector_0.4.0 annotate_1.42.0 genefilter_1.46.0 >>> [10] geneplotter_1.42.0 grid_3.1.0 lattice_0.20-29 >>> [13] locfit_1.5-9.1 stats4_3.1.0 survival_2.37-7 >>> [16] xtable_1.7-3 >>> >>> -- >>> Sent via the guest posting facility at bioconductor.org. >> >> > > > > -- > ********************************************* > Mingfeng Li, Ph.D. > Postdoctoral Associate > Department of Neurobiology > Yale University School of Medicine > 333 Cedar Street, SHM C-327C > New Haven, CT 06510 > > E-mail: mingfeng.li at yale.edu > Lab: (203) 785-5941 > Lab website: www.sestanlab.org > *********************************************
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It's going to be in v1.4.5, I forgot to bump the version number. Mike On Sat, May 10, 2014 at 11:43 AM, Michael Love <michaelisaiahlove at="" gmail.com=""> wrote: > hi Mingfeng, > > Thanks for reporting this and sending the example. I found the bug > that produced this hang, and just pushed v1.4.4 (available in 1 day on > Bioc), which fixes this: > >> library(DESeq2) >> load("~/Downloads/tmpFile.Rdata") >> system.time({nbinomWaldTest(ddsMF)}) > user system elapsed > 14.841 0.777 15.634 > > # or the whole pipeline: > >> system.time({DESeq(ddsMF)}) > using pre-existing normalization factors > estimating dispersions > you had estimated dispersions, replacing these > gene-wise dispersion estimates > mean-dispersion relationship > final dispersion estimates > fitting model and testing > user system elapsed > 38.768 1.457 40.240 > > Mike > > > On Fri, May 9, 2014 at 5:38 PM, Mingfeng Li <mingfeng.li at="" yale.edu=""> wrote: >> Hi Mike, >> >> Thanks your so fast response. I would like to send you one example in Rdata. >> You can get the information of the design, the normalization factor matrix. >> please reproduce the following codes: >> library("DESeq2") >> load("tmpFile.Rdata") >> ddsMF = nbinomWaldTest(ddsMF); >> >> >> Best, >> Mingfeng >> >> >> >> >> On Fri, May 9, 2014 at 4:12 PM, Michael Love <michaelisaiahlove at="" gmail.com=""> >> wrote: >>> >>> hi Mingfeng, >>> >>> With 6 samples, this is typically seconds to run. If it's taking longer >>> than a few minutes, usually this means something is wrong. Could you make a >>> small reproducible example and send me data and a script? If this is not >>> possible, I'd need some more information, like the code you are using, the >>> design, the normalization factor matrix, etc. >>> >>> Mike >>> >>> >>> On Fri, May 9, 2014 at 3:14 PM, Mingfeng [guest] <guest at="" bioconductor.org=""> >>> wrote: >>>> >>>> >>>> It is the exciting news of the coming of DESeq2. >>>> There are many updates and incorporation with other software, e.g., Wald >>>> test and cqn. >>>> My question is the nbinomWaldTest may stuck running for long time when >>>> using multiple factors, e.g., running several days but no results or >>>> messages coming out. It works well when I remove the "type" factor. >>>> I paste the meta data in the following: >>>> condition type >>>> S103 W U >>>> S149 W Y >>>> S114 W Y >>>> S98 K U >>>> S92 K U >>>> S159 K Y >>>> >>>> >>>> >>>> >>>> >>>> >>>> Thanks. >>>> >>>> >>>> >>>> >>>> -- output of sessionInfo(): >>>> >>>> > sessionInfo() >>>> R version 3.1.0 (2014-04-10) >>>> Platform: x86_64-unknown-linux-gnu (64-bit) >>>> >>>> locale: >>>> [1] C >>>> >>>> attached base packages: >>>> [1] splines parallel stats graphics grDevices utils datasets >>>> [8] methods base >>>> >>>> other attached packages: >>>> [1] cqn_1.10.0 quantreg_5.05 SparseM_1.03 >>>> [4] preprocessCore_1.26.0 nor1mix_1.1-4 mclust_4.3 >>>> [7] DESeq2_1.4.1 RcppArmadillo_0.4.300.0 Rcpp_0.11.1 >>>> [10] GenomicRanges_1.16.2 GenomeInfoDb_1.0.2 IRanges_1.22.4 >>>> [13] BiocGenerics_0.10.0 >>>> >>>> loaded via a namespace (and not attached): >>>> [1] AnnotationDbi_1.26.0 Biobase_2.24.0 DBI_0.2-7 >>>> [4] RColorBrewer_1.0-5 RSQLite_0.11.4 XML_3.98-1.1 >>>> [7] XVector_0.4.0 annotate_1.42.0 genefilter_1.46.0 >>>> [10] geneplotter_1.42.0 grid_3.1.0 lattice_0.20-29 >>>> [13] locfit_1.5-9.1 stats4_3.1.0 survival_2.37-7 >>>> [16] xtable_1.7-3 >>>> >>>> -- >>>> Sent via the guest posting facility at bioconductor.org. >>> >>> >> >> >> >> -- >> ********************************************* >> Mingfeng Li, Ph.D. >> Postdoctoral Associate >> Department of Neurobiology >> Yale University School of Medicine >> 333 Cedar Street, SHM C-327C >> New Haven, CT 06510 >> >> E-mail: mingfeng.li at yale.edu >> Lab: (203) 785-5941 >> Lab website: www.sestanlab.org >> *********************************************
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Hi, I have microarray data from 10 different cell types. I want to identify DEGs by an all cell type by all cell type comparison and one cell type vs. all cell type comparison using limma. Is there a way to do it? Thanks,Sam. [[alternative HTML version deleted]]
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Hi Mike, Thanks your help. Unfortunately, it does not work in my computer. It is still hanged when typing "system.time({nbinomWaldTest(ddsMF)})". I pasted the sessionInfo. Thanks. best, Mingfeng > sessionInfo() R version 3.1.0 (2014-04-10) Platform: x86_64-unknown-linux-gnu (64-bit) locale: [1] C attached base packages: [1] parallel stats graphics grDevices utils datasets methods [8] base other attached packages: [1] DESeq2_1.4.4 RcppArmadillo_0.4.300.0 Rcpp_0.11.1 [4] GenomicRanges_1.16.3 GenomeInfoDb_1.0.2 IRanges_1.22.6 [7] BiocGenerics_0.10.0 loaded via a namespace (and not attached): [1] AnnotationDbi_1.26.0 Biobase_2.24.0 DBI_0.2-7 [4] RColorBrewer_1.0-5 RSQLite_0.11.4 XML_3.98-1.1 [7] XVector_0.4.0 annotate_1.42.0 genefilter_1.46.1 [10] geneplotter_1.42.0 grid_3.1.0 lattice_0.20-29 [13] locfit_1.5-9.1 splines_3.1.0 stats4_3.1.0 [16] survival_2.37-7 xtable_1.7-3 On Sat, May 10, 2014 at 10:43 AM, Michael Love <michaelisaiahlove@gmail.com>wrote: > hi Mingfeng, > > Thanks for reporting this and sending the example. I found the bug > that produced this hang, and just pushed v1.4.4 (available in 1 day on > Bioc), which fixes this: > > > library(DESeq2) > > load("~/Downloads/tmpFile.Rdata") > > system.time({nbinomWaldTest(ddsMF)}) > user system elapsed > 14.841 0.777 15.634 > > # or the whole pipeline: > > > system.time({DESeq(ddsMF)}) > using pre-existing normalization factors > estimating dispersions > you had estimated dispersions, replacing these > gene-wise dispersion estimates > mean-dispersion relationship > final dispersion estimates > fitting model and testing > user system elapsed > 38.768 1.457 40.240 > > Mike > > > On Fri, May 9, 2014 at 5:38 PM, Mingfeng Li <mingfeng.li@yale.edu> wrote: > > Hi Mike, > > > > Thanks your so fast response. I would like to send you one example in > Rdata. > > You can get the information of the design, the normalization factor > matrix. > > please reproduce the following codes: > > library("DESeq2") > > load("tmpFile.Rdata") > > ddsMF = nbinomWaldTest(ddsMF); > > > > > > Best, > > Mingfeng > > > > > > > > > > On Fri, May 9, 2014 at 4:12 PM, Michael Love < > michaelisaiahlove@gmail.com> > > wrote: > >> > >> hi Mingfeng, > >> > >> With 6 samples, this is typically seconds to run. If it's taking longer > >> than a few minutes, usually this means something is wrong. Could you > make a > >> small reproducible example and send me data and a script? If this is not > >> possible, I'd need some more information, like the code you are using, > the > >> design, the normalization factor matrix, etc. > >> > >> Mike > >> > >> > >> On Fri, May 9, 2014 at 3:14 PM, Mingfeng [guest] < > guest@bioconductor.org> > >> wrote: > >>> > >>> > >>> It is the exciting news of the coming of DESeq2. > >>> There are many updates and incorporation with other software, e.g., > Wald > >>> test and cqn. > >>> My question is the nbinomWaldTest may stuck running for long time when > >>> using multiple factors, e.g., running several days but no results or > >>> messages coming out. It works well when I remove the "type" factor. > >>> I paste the meta data in the following: > >>> condition type > >>> S103 W U > >>> S149 W Y > >>> S114 W Y > >>> S98 K U > >>> S92 K U > >>> S159 K Y > >>> > >>> > >>> > >>> > >>> > >>> > >>> Thanks. > >>> > >>> > >>> > >>> > >>> -- output of sessionInfo(): > >>> > >>> > sessionInfo() > >>> R version 3.1.0 (2014-04-10) > >>> Platform: x86_64-unknown-linux-gnu (64-bit) > >>> > >>> locale: > >>> [1] C > >>> > >>> attached base packages: > >>> [1] splines parallel stats graphics grDevices utils > datasets > >>> [8] methods base > >>> > >>> other attached packages: > >>> [1] cqn_1.10.0 quantreg_5.05 SparseM_1.03 > >>> [4] preprocessCore_1.26.0 nor1mix_1.1-4 mclust_4.3 > >>> [7] DESeq2_1.4.1 RcppArmadillo_0.4.300.0 Rcpp_0.11.1 > >>> [10] GenomicRanges_1.16.2 GenomeInfoDb_1.0.2 IRanges_1.22.4 > >>> [13] BiocGenerics_0.10.0 > >>> > >>> loaded via a namespace (and not attached): > >>> [1] AnnotationDbi_1.26.0 Biobase_2.24.0 DBI_0.2-7 > >>> [4] RColorBrewer_1.0-5 RSQLite_0.11.4 XML_3.98-1.1 > >>> [7] XVector_0.4.0 annotate_1.42.0 genefilter_1.46.0 > >>> [10] geneplotter_1.42.0 grid_3.1.0 lattice_0.20-29 > >>> [13] locfit_1.5-9.1 stats4_3.1.0 survival_2.37-7 > >>> [16] xtable_1.7-3 > >>> > >>> -- > >>> Sent via the guest posting facility at bioconductor.org. > >> > >> > > > > > > > > -- > > ********************************************* > > Mingfeng Li, Ph.D. > > Postdoctoral Associate > > Department of Neurobiology > > Yale University School of Medicine > > 333 Cedar Street, SHM C-327C > > New Haven, CT 06510 > > > > E-mail: mingfeng.li@yale.edu > > Lab: (203) 785-5941 > > Lab website: www.sestanlab.org > > ********************************************* > -- ********************************************* Mingfeng Li, Ph.D. Postdoctoral Associate Department of Neurobiology Yale University School of Medicine 333 Cedar Street, SHM C-327C New Haven, CT 06510 E-mail: mingfeng.li@yale.edu Lab: (203) 785-5941 Lab website: www.sestanlab.org ********************************************* [[alternative HTML version deleted]]
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hi Mingfeng, I sent a follow-up email that I forgot to bump the version number, and the fix will be in 1.4.5, which should be out today. Mike On Mon, May 12, 2014 at 12:03 PM, Mingfeng Li <mingfeng.li@yale.edu> wrote: > Hi Mike, > > Thanks your help. Unfortunately, it does not work in my computer. It is > still hanged when typing "system.time({nbinomWaldTest(ddsMF)})". I pasted > the sessionInfo. Thanks. > > best, > Mingfeng > > > > sessionInfo() > R version 3.1.0 (2014-04-10) > Platform: x86_64-unknown-linux-gnu (64-bit) > > locale: > [1] C > > attached base packages: > [1] parallel stats graphics grDevices utils datasets methods > [8] base > > other attached packages: > [1] DESeq2_1.4.4 RcppArmadillo_0.4.300.0 Rcpp_0.11.1 > [4] GenomicRanges_1.16.3 GenomeInfoDb_1.0.2 IRanges_1.22.6 > [7] BiocGenerics_0.10.0 > > loaded via a namespace (and not attached): > [1] AnnotationDbi_1.26.0 Biobase_2.24.0 DBI_0.2-7 > [4] RColorBrewer_1.0-5 RSQLite_0.11.4 XML_3.98-1.1 > [7] XVector_0.4.0 annotate_1.42.0 genefilter_1.46.1 > [10] geneplotter_1.42.0 grid_3.1.0 lattice_0.20-29 > [13] locfit_1.5-9.1 splines_3.1.0 stats4_3.1.0 > [16] survival_2.37-7 xtable_1.7-3 > > > > On Sat, May 10, 2014 at 10:43 AM, Michael Love < > michaelisaiahlove@gmail.com> wrote: > >> hi Mingfeng, >> >> Thanks for reporting this and sending the example. I found the bug >> that produced this hang, and just pushed v1.4.4 (available in 1 day on >> Bioc), which fixes this: >> >> > library(DESeq2) >> > load("~/Downloads/tmpFile.Rdata") >> > system.time({nbinomWaldTest(ddsMF)}) >> user system elapsed >> 14.841 0.777 15.634 >> >> # or the whole pipeline: >> >> > system.time({DESeq(ddsMF)}) >> using pre-existing normalization factors >> estimating dispersions >> you had estimated dispersions, replacing these >> gene-wise dispersion estimates >> mean-dispersion relationship >> final dispersion estimates >> fitting model and testing >> user system elapsed >> 38.768 1.457 40.240 >> >> Mike >> >> >> On Fri, May 9, 2014 at 5:38 PM, Mingfeng Li <mingfeng.li@yale.edu> wrote: >> > Hi Mike, >> > >> > Thanks your so fast response. I would like to send you one example in >> Rdata. >> > You can get the information of the design, the normalization factor >> matrix. >> > please reproduce the following codes: >> > library("DESeq2") >> > load("tmpFile.Rdata") >> > ddsMF = nbinomWaldTest(ddsMF); >> > >> > >> > Best, >> > Mingfeng >> > >> > >> > >> > >> > On Fri, May 9, 2014 at 4:12 PM, Michael Love < >> michaelisaiahlove@gmail.com> >> > wrote: >> >> >> >> hi Mingfeng, >> >> >> >> With 6 samples, this is typically seconds to run. If it's taking longer >> >> than a few minutes, usually this means something is wrong. Could you >> make a >> >> small reproducible example and send me data and a script? If this is >> not >> >> possible, I'd need some more information, like the code you are using, >> the >> >> design, the normalization factor matrix, etc. >> >> >> >> Mike >> >> >> >> >> >> On Fri, May 9, 2014 at 3:14 PM, Mingfeng [guest] < >> guest@bioconductor.org> >> >> wrote: >> >>> >> >>> >> >>> It is the exciting news of the coming of DESeq2. >> >>> There are many updates and incorporation with other software, e.g., >> Wald >> >>> test and cqn. >> >>> My question is the nbinomWaldTest may stuck running for long time when >> >>> using multiple factors, e.g., running several days but no results or >> >>> messages coming out. It works well when I remove the "type" factor. >> >>> I paste the meta data in the following: >> >>> condition type >> >>> S103 W U >> >>> S149 W Y >> >>> S114 W Y >> >>> S98 K U >> >>> S92 K U >> >>> S159 K Y >> >>> >> >>> >> >>> >> >>> >> >>> >> >>> >> >>> Thanks. >> >>> >> >>> >> >>> >> >>> >> >>> -- output of sessionInfo(): >> >>> >> >>> > sessionInfo() >> >>> R version 3.1.0 (2014-04-10) >> >>> Platform: x86_64-unknown-linux-gnu (64-bit) >> >>> >> >>> locale: >> >>> [1] C >> >>> >> >>> attached base packages: >> >>> [1] splines parallel stats graphics grDevices utils >> datasets >> >>> [8] methods base >> >>> >> >>> other attached packages: >> >>> [1] cqn_1.10.0 quantreg_5.05 SparseM_1.03 >> >>> [4] preprocessCore_1.26.0 nor1mix_1.1-4 mclust_4.3 >> >>> [7] DESeq2_1.4.1 RcppArmadillo_0.4.300.0 Rcpp_0.11.1 >> >>> [10] GenomicRanges_1.16.2 GenomeInfoDb_1.0.2 IRanges_1.22.4 >> >>> [13] BiocGenerics_0.10.0 >> >>> >> >>> loaded via a namespace (and not attached): >> >>> [1] AnnotationDbi_1.26.0 Biobase_2.24.0 DBI_0.2-7 >> >>> [4] RColorBrewer_1.0-5 RSQLite_0.11.4 XML_3.98-1.1 >> >>> [7] XVector_0.4.0 annotate_1.42.0 genefilter_1.46.0 >> >>> [10] geneplotter_1.42.0 grid_3.1.0 lattice_0.20-29 >> >>> [13] locfit_1.5-9.1 stats4_3.1.0 survival_2.37-7 >> >>> [16] xtable_1.7-3 >> >>> >> >>> -- >> >>> Sent via the guest posting facility at bioconductor.org. >> >> >> >> >> > >> > >> > >> > -- >> > ********************************************* >> > Mingfeng Li, Ph.D. >> > Postdoctoral Associate >> > Department of Neurobiology >> > Yale University School of Medicine >> > 333 Cedar Street, SHM C-327C >> > New Haven, CT 06510 >> > >> > E-mail: mingfeng.li@yale.edu >> > Lab: (203) 785-5941 >> > Lab website: www.sestanlab.org >> > ********************************************* >> > > > > -- > ********************************************* > Mingfeng Li, Ph.D. > Postdoctoral Associate > Department of Neurobiology > Yale University School of Medicine > 333 Cedar Street, SHM C-327C > New Haven, CT 06510 > > E-mail: mingfeng.li@yale.edu > Lab: (203) 785-5941 > Lab website: www.sestanlab.org > ********************************************* > [[alternative HTML version deleted]]
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Hi Mike, I missed that email. Thank you very much. Best, Mingfeng Sent from my iPod On May 12, 2014, at 12:34 PM, Michael Love <michaelisaiahlove@gmail.com> wrote: > hi Mingfeng, > > I sent a follow-up email that I forgot to bump the version number, and the fix will be in 1.4.5, which should be out today. > > Mike > > > On Mon, May 12, 2014 at 12:03 PM, Mingfeng Li <mingfeng.li@yale.edu> wrote: >> Hi Mike, >> >> Thanks your help. Unfortunately, it does not work in my computer. It is still hanged when typing "system.time({nbinomWaldTest(ddsMF)})". I pasted the sessionInfo. Thanks. >> >> best, >> Mingfeng >> >> >> > sessionInfo() >> R version 3.1.0 (2014-04-10) >> Platform: x86_64-unknown-linux-gnu (64-bit) >> >> locale: >> [1] C >> >> attached base packages: >> [1] parallel stats graphics grDevices utils datasets methods >> [8] base >> >> other attached packages: >> [1] DESeq2_1.4.4 RcppArmadillo_0.4.300.0 Rcpp_0.11.1 >> [4] GenomicRanges_1.16.3 GenomeInfoDb_1.0.2 IRanges_1.22.6 >> [7] BiocGenerics_0.10.0 >> >> loaded via a namespace (and not attached): >> [1] AnnotationDbi_1.26.0 Biobase_2.24.0 DBI_0.2-7 >> [4] RColorBrewer_1.0-5 RSQLite_0.11.4 XML_3.98-1.1 >> [7] XVector_0.4.0 annotate_1.42.0 genefilter_1.46.1 >> [10] geneplotter_1.42.0 grid_3.1.0 lattice_0.20-29 >> [13] locfit_1.5-9.1 splines_3.1.0 stats4_3.1.0 >> [16] survival_2.37-7 xtable_1.7-3 >> >> >> >> On Sat, May 10, 2014 at 10:43 AM, Michael Love <michaelisaiahlove@gmail.com> wrote: >>> hi Mingfeng, >>> >>> Thanks for reporting this and sending the example. I found the bug >>> that produced this hang, and just pushed v1.4.4 (available in 1 day on >>> Bioc), which fixes this: >>> >>> > library(DESeq2) >>> > load("~/Downloads/tmpFile.Rdata") >>> > system.time({nbinomWaldTest(ddsMF)}) >>> user system elapsed >>> 14.841 0.777 15.634 >>> >>> # or the whole pipeline: >>> >>> > system.time({DESeq(ddsMF)}) >>> using pre-existing normalization factors >>> estimating dispersions >>> you had estimated dispersions, replacing these >>> gene-wise dispersion estimates >>> mean-dispersion relationship >>> final dispersion estimates >>> fitting model and testing >>> user system elapsed >>> 38.768 1.457 40.240 >>> >>> Mike >>> >>> >>> On Fri, May 9, 2014 at 5:38 PM, Mingfeng Li <mingfeng.li@yale.edu> wrote: >>> > Hi Mike, >>> > >>> > Thanks your so fast response. I would like to send you one example in Rdata. >>> > You can get the information of the design, the normalization factor matrix. >>> > please reproduce the following codes: >>> > library("DESeq2") >>> > load("tmpFile.Rdata") >>> > ddsMF = nbinomWaldTest(ddsMF); >>> > >>> > >>> > Best, >>> > Mingfeng >>> > >>> > >>> > >>> > >>> > On Fri, May 9, 2014 at 4:12 PM, Michael Love <michaelisaiahlove@gmail.com> >>> > wrote: >>> >> >>> >> hi Mingfeng, >>> >> >>> >> With 6 samples, this is typically seconds to run. If it's taking longer >>> >> than a few minutes, usually this means something is wrong. Could you make a >>> >> small reproducible example and send me data and a script? If this is not >>> >> possible, I'd need some more information, like the code you are using, the >>> >> design, the normalization factor matrix, etc. >>> >> >>> >> Mike >>> >> >>> >> >>> >> On Fri, May 9, 2014 at 3:14 PM, Mingfeng [guest] <guest@bioconductor.org> >>> >> wrote: >>> >>> >>> >>> >>> >>> It is the exciting news of the coming of DESeq2. >>> >>> There are many updates and incorporation with other software, e.g., Wald >>> >>> test and cqn. >>> >>> My question is the nbinomWaldTest may stuck running for long time when >>> >>> using multiple factors, e.g., running several days but no results or >>> >>> messages coming out. It works well when I remove the "type" factor. >>> >>> I paste the meta data in the following: >>> >>> condition type >>> >>> S103 W U >>> >>> S149 W Y >>> >>> S114 W Y >>> >>> S98 K U >>> >>> S92 K U >>> >>> S159 K Y >>> >>> >>> >>> >>> >>> >>> >>> >>> >>> >>> >>> >>> >>> Thanks. >>> >>> >>> >>> >>> >>> >>> >>> >>> >>> -- output of sessionInfo(): >>> >>> >>> >>> > sessionInfo() >>> >>> R version 3.1.0 (2014-04-10) >>> >>> Platform: x86_64-unknown-linux-gnu (64-bit) >>> >>> >>> >>> locale: >>> >>> [1] C >>> >>> >>> >>> attached base packages: >>> >>> [1] splines parallel stats graphics grDevices utils datasets >>> >>> [8] methods base >>> >>> >>> >>> other attached packages: >>> >>> [1] cqn_1.10.0 quantreg_5.05 SparseM_1.03 >>> >>> [4] preprocessCore_1.26.0 nor1mix_1.1-4 mclust_4.3 >>> >>> [7] DESeq2_1.4.1 RcppArmadillo_0.4.300.0 Rcpp_0.11.1 >>> >>> [10] GenomicRanges_1.16.2 GenomeInfoDb_1.0.2 IRanges_1.22.4 >>> >>> [13] BiocGenerics_0.10.0 >>> >>> >>> >>> loaded via a namespace (and not attached): >>> >>> [1] AnnotationDbi_1.26.0 Biobase_2.24.0 DBI_0.2-7 >>> >>> [4] RColorBrewer_1.0-5 RSQLite_0.11.4 XML_3.98-1.1 >>> >>> [7] XVector_0.4.0 annotate_1.42.0 genefilter_1.46.0 >>> >>> [10] geneplotter_1.42.0 grid_3.1.0 lattice_0.20-29 >>> >>> [13] locfit_1.5-9.1 stats4_3.1.0 survival_2.37-7 >>> >>> [16] xtable_1.7-3 >>> >>> >>> >>> -- >>> >>> Sent via the guest posting facility at bioconductor.org. >>> >> >>> >> >>> > >>> > >>> > >>> > -- >>> > ********************************************* >>> > Mingfeng Li, Ph.D. >>> > Postdoctoral Associate >>> > Department of Neurobiology >>> > Yale University School of Medicine >>> > 333 Cedar Street, SHM C-327C >>> > New Haven, CT 06510 >>> > >>> > E-mail: mingfeng.li@yale.edu >>> > Lab: (203) 785-5941 >>> > Lab website: www.sestanlab.org >>> > ********************************************* >> >> >> >> -- >> ********************************************* >> Mingfeng Li, Ph.D. >> Postdoctoral Associate >> Department of Neurobiology >> Yale University School of Medicine >> 333 Cedar Street, SHM C-327C >> New Haven, CT 06510 >> >> E-mail: mingfeng.li@yale.edu >> Lab: (203) 785-5941 >> Lab website: www.sestanlab.org >> ********************************************* > [[alternative HTML version deleted]]
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Just for users who end up on this thread through search: updating to DESeq2 v1.4.5 clears up this hang. Mike On Mon, May 12, 2014 at 1:11 PM, <lmf.bill at="" gmail.com=""> wrote: > Hi Mike, > I missed that email. Thank you very much. > > Best, > Mingfeng > > Sent from my iPod > > On May 12, 2014, at 12:34 PM, Michael Love <michaelisaiahlove at="" gmail.com=""> > wrote: > > hi Mingfeng, > > I sent a follow-up email that I forgot to bump the version number, and the > fix will be in 1.4.5, which should be out today. > > Mike > > > On Mon, May 12, 2014 at 12:03 PM, Mingfeng Li <mingfeng.li at="" yale.edu=""> wrote: >> >> Hi Mike, >> >> Thanks your help. Unfortunately, it does not work in my computer. It is >> still hanged when typing "system.time({nbinomWaldTest(ddsMF)})". I pasted >> the sessionInfo. Thanks. >> >> best, >> Mingfeng >> >> >> > sessionInfo() >> R version 3.1.0 (2014-04-10) >> Platform: x86_64-unknown-linux-gnu (64-bit) >> >> locale: >> [1] C >> >> attached base packages: >> [1] parallel stats graphics grDevices utils datasets methods >> [8] base >> >> other attached packages: >> [1] DESeq2_1.4.4 RcppArmadillo_0.4.300.0 Rcpp_0.11.1 >> [4] GenomicRanges_1.16.3 GenomeInfoDb_1.0.2 IRanges_1.22.6 >> [7] BiocGenerics_0.10.0 >> >> loaded via a namespace (and not attached): >> [1] AnnotationDbi_1.26.0 Biobase_2.24.0 DBI_0.2-7 >> [4] RColorBrewer_1.0-5 RSQLite_0.11.4 XML_3.98-1.1 >> [7] XVector_0.4.0 annotate_1.42.0 genefilter_1.46.1 >> [10] geneplotter_1.42.0 grid_3.1.0 lattice_0.20-29 >> [13] locfit_1.5-9.1 splines_3.1.0 stats4_3.1.0 >> [16] survival_2.37-7 xtable_1.7-3 >> >> >> >> On Sat, May 10, 2014 at 10:43 AM, Michael Love >> <michaelisaiahlove at="" gmail.com=""> wrote: >>> >>> hi Mingfeng, >>> >>> Thanks for reporting this and sending the example. I found the bug >>> that produced this hang, and just pushed v1.4.4 (available in 1 day on >>> Bioc), which fixes this: >>> >>> > library(DESeq2) >>> > load("~/Downloads/tmpFile.Rdata") >>> > system.time({nbinomWaldTest(ddsMF)}) >>> user system elapsed >>> 14.841 0.777 15.634 >>> >>> # or the whole pipeline: >>> >>> > system.time({DESeq(ddsMF)}) >>> using pre-existing normalization factors >>> estimating dispersions >>> you had estimated dispersions, replacing these >>> gene-wise dispersion estimates >>> mean-dispersion relationship >>> final dispersion estimates >>> fitting model and testing >>> user system elapsed >>> 38.768 1.457 40.240 >>> >>> Mike >>> >>> >>> On Fri, May 9, 2014 at 5:38 PM, Mingfeng Li <mingfeng.li at="" yale.edu=""> wrote: >>> > Hi Mike, >>> > >>> > Thanks your so fast response. I would like to send you one example in >>> > Rdata. >>> > You can get the information of the design, the normalization factor >>> > matrix. >>> > please reproduce the following codes: >>> > library("DESeq2") >>> > load("tmpFile.Rdata") >>> > ddsMF = nbinomWaldTest(ddsMF); >>> > >>> > >>> > Best, >>> > Mingfeng >>> > >>> > >>> > >>> > >>> > On Fri, May 9, 2014 at 4:12 PM, Michael Love >>> > <michaelisaiahlove at="" gmail.com=""> >>> > wrote: >>> >> >>> >> hi Mingfeng, >>> >> >>> >> With 6 samples, this is typically seconds to run. If it's taking >>> >> longer >>> >> than a few minutes, usually this means something is wrong. Could you >>> >> make a >>> >> small reproducible example and send me data and a script? If this is >>> >> not >>> >> possible, I'd need some more information, like the code you are using, >>> >> the >>> >> design, the normalization factor matrix, etc. >>> >> >>> >> Mike >>> >> >>> >> >>> >> On Fri, May 9, 2014 at 3:14 PM, Mingfeng [guest] >>> >> <guest at="" bioconductor.org=""> >>> >> wrote: >>> >>> >>> >>> >>> >>> It is the exciting news of the coming of DESeq2. >>> >>> There are many updates and incorporation with other software, e.g., >>> >>> Wald >>> >>> test and cqn. >>> >>> My question is the nbinomWaldTest may stuck running for long time >>> >>> when >>> >>> using multiple factors, e.g., running several days but no results or >>> >>> messages coming out. It works well when I remove the "type" factor. >>> >>> I paste the meta data in the following: >>> >>> condition type >>> >>> S103 W U >>> >>> S149 W Y >>> >>> S114 W Y >>> >>> S98 K U >>> >>> S92 K U >>> >>> S159 K Y >>> >>> >>> >>> >>> >>> >>> >>> >>> >>> >>> >>> >>> >>> Thanks. >>> >>> >>> >>> >>> >>> >>> >>> >>> >>> -- output of sessionInfo(): >>> >>> >>> >>> > sessionInfo() >>> >>> R version 3.1.0 (2014-04-10) >>> >>> Platform: x86_64-unknown-linux-gnu (64-bit) >>> >>> >>> >>> locale: >>> >>> [1] C >>> >>> >>> >>> attached base packages: >>> >>> [1] splines parallel stats graphics grDevices utils >>> >>> datasets >>> >>> [8] methods base >>> >>> >>> >>> other attached packages: >>> >>> [1] cqn_1.10.0 quantreg_5.05 SparseM_1.03 >>> >>> [4] preprocessCore_1.26.0 nor1mix_1.1-4 mclust_4.3 >>> >>> [7] DESeq2_1.4.1 RcppArmadillo_0.4.300.0 Rcpp_0.11.1 >>> >>> [10] GenomicRanges_1.16.2 GenomeInfoDb_1.0.2 IRanges_1.22.4 >>> >>> [13] BiocGenerics_0.10.0 >>> >>> >>> >>> loaded via a namespace (and not attached): >>> >>> [1] AnnotationDbi_1.26.0 Biobase_2.24.0 DBI_0.2-7 >>> >>> [4] RColorBrewer_1.0-5 RSQLite_0.11.4 XML_3.98-1.1 >>> >>> [7] XVector_0.4.0 annotate_1.42.0 genefilter_1.46.0 >>> >>> [10] geneplotter_1.42.0 grid_3.1.0 lattice_0.20-29 >>> >>> [13] locfit_1.5-9.1 stats4_3.1.0 survival_2.37-7 >>> >>> [16] xtable_1.7-3 >>> >>> >>> >>> -- >>> >>> Sent via the guest posting facility at bioconductor.org. >>> >> >>> >> >>> > >>> > >>> > >>> > -- >>> > ********************************************* >>> > Mingfeng Li, Ph.D. >>> > Postdoctoral Associate >>> > Department of Neurobiology >>> > Yale University School of Medicine >>> > 333 Cedar Street, SHM C-327C >>> > New Haven, CT 06510 >>> > >>> > E-mail: mingfeng.li at yale.edu >>> > Lab: (203) 785-5941 >>> > Lab website: www.sestanlab.org >>> > ********************************************* >> >> >> >> >> -- >> ********************************************* >> Mingfeng Li, Ph.D. >> Postdoctoral Associate >> Department of Neurobiology >> Yale University School of Medicine >> 333 Cedar Street, SHM C-327C >> New Haven, CT 06510 >> >> E-mail: mingfeng.li at yale.edu >> Lab: (203) 785-5941 >> Lab website: www.sestanlab.org >> ********************************************* > >
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