Closed JGASmits closed 5 years ago
I have the same issue. Any update?
Hi there,
Can you maybe run each step separately instead of runJDA and let me know at which step it failed https://github.com/r3fang/SnapATAC/blob/65da1ebbd01a086fc47f2308d05d907527c4efa5/examples/10X_P50/README.md https://github.com/r3fang/SnapATAC/blob/65da1ebbd01a086fc47f2308d05d907527c4efa5/examples/10X_P50/README.md
-- Rongxin Fang, Ren Lab Ludwig Cancer Research Bioinformatics Ph.D. Student University of California, San Diego
On Jun 20, 2019, at 4:33 PM, StatsAreForLosers notifications@github.com wrote:
I have the same issue. Any update?
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Dear Rongxin,
If i use the seperate steps instead of runJDA, it crashes at the runNormJaccard() step. Once agian only if I knit it, if i run it otherwise it works. a bit weird :S
Greetings Jos
I know, it is wired. Can you try it with runNormJaccard by setting do.par=FALSE?
-- Rongxin Fang, Ren Lab Ludwig Cancer Research Bioinformatics Ph.D. Student University of California, San Diego
On Jun 21, 2019, at 11:25 AM, Jos Smits notifications@github.com wrote:
Dear Rongxin,
If i use the seperate steps instead of runJDA, it crashes at the runNormJaccard() step. Once agian only if I knit it, if i run it otherwise it works. a bit weird :S
Greetings Jos
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Thanks for your responses! Running runNormJaccard with the option do.par=FALSE seems to knit agian. So it is something in the paralellization that breaks something in knitr.
I think so... if you don’t have a very large number, so.par=FALSE is fine
Sent from my iPhone
On Jun 21, 2019, at 12:19 PM, Jos Smits notifications@github.com wrote:
Thanks for your responses! Running runNormJaccard with the option do.par=FALSE seems to knit agian. So it is something in the paralellization that breaks something in knitr.
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Once my samplesize is starting to get to large ill just have to stop using knitr i guess. Not ideal but workable. Thanks for your help troubleshooting.
hi Rongxin Fang,
While working with SnapATAC I'm using a R markdown file (in order to more easily show stuff during work discussions). I noticed however that the runJDA command breaks the Knit process. My code runs fine but kniting the document breaks at the runJDA command giving the following error:
Error in isIncomplete(con) : invalid connection Calls: ... handle_condition -> handle_output -> -> isIncomplete
Quitting from lines 19-36 (file.Rmd)
Error in isOpen(con) : invalid connection
Calls: ... -> evaluate_call -> -> isOpen
Execution halted
I tried to also generate a knited document from the demo.sp dataset ant the same problem is occurring there. Rmd code used:
title: "SnapATAC_test" author: "Jsmits" date: "May 22, 2019" output: html_document
Am I doing something wrong or is it a small bug somewhere?
Greetings Jos Smits
PS: here is my session info:
R version 3.5.1 (2018-07-02) Platform: x86_64-conda_cos6-linux-gnu (64-bit) Running under: Gentoo/Linux
Matrix products: default BLAS/LAPACK: /home/jsmits/anaconda3/envs/P3_SnapATAC/lib/R/lib/libRblas.so
locale: [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C LC_TIME=C LC_COLLATE=C LC_MONETARY=C LC_MESSAGES=C
[7] LC_PAPER=C LC_NAME=C LC_ADDRESS=C LC_TELEPHONE=C LC_MEASUREMENT=C LC_IDENTIFICATION=C
attached base packages: [1] stats graphics grDevices utils datasets methods base
other attached packages: [1] SnapATAC_1.0.0 rhdf5_2.26.2 Matrix_1.2-17
loaded via a namespace (and not attached): [1] Rcpp_1.0.1 plyr_1.8.4 compiler_3.5.1 RColorBrewer_1.1-2 GenomeInfoDb_1.18.2 XVector_0.22.0
[7] bitops_1.0-6 iterators_1.0.10 tools_3.5.1 zlibbioc_1.28.0 digest_0.6.19 evaluate_0.13
[13] Rtsne_0.15 lattice_0.20-38 pkgconfig_2.0.2 doSNOW_1.0.16 foreach_1.4.4 igraph_1.2.4.1
[19] yaml_2.2.0 parallel_3.5.1 xfun_0.7 GenomeInfoDbData_1.2.0 raster_2.9-5 knitr_1.23
[25] S4Vectors_0.20.1 IRanges_2.16.0 stats4_3.5.1 locfit_1.5-9.1 grid_3.5.1 snow_0.4-3
[31] bigmemory_4.5.33 bigmemory.sri_0.1.3 rmarkdown_1.12 RANN_2.6.1 sp_1.3-1 irlba_2.3.3
[37] limma_3.38.3 Rhdf5lib_1.4.3 edgeR_3.24.3 magrittr_1.5 scales_1.0.0 codetools_0.2-16
[43] htmltools_0.3.6 BiocGenerics_0.28.0 GenomicRanges_1.34.0 colorspace_1.4-1 munsell_0.5.0 RCurl_1.95-4.12
[49] doParallel_1.0.14