Coupling set error in MEDIPS
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@saripalligautam86-17723
Last seen 6.0 years ago

Dear All,

 

I am tring to analyse my MeDIP-Seq data in wheat using MEDIPS package. For this purpose, as mentioned in my earlier post, I created .2bit file from .fasta whole genome sequence file and then I created a forge bsgenome package and then build the package using devtools in R. I created medipsets using MEDIPS createSet with extend=300, shift=0, ws=500, paired=T. 

 

The code I used for creating medipset is as follows:

HD0medipnew1=MEDIPS.createSet(file="G:/Lr48/HD0medipnew.bam",BSgenome=BSgenome, paired=TRUE, extend=extend, uniq=uniq, shift=shift, window_size=ws).

Then I tried to generate coupling set using the below code.However, after reaching to chromosome 7, i get the error as follows:

I tried differential coverage with calculating CpG densities and its working by putting MeDIP=F. I would like to know if in case of plants, is it fine to go without calculating CpG densities(coupling set) or not?

I would also like to know if it is required to calculate cpg densities in case of plants or can we go directly for differential coverage without CpG normalisation?

> CS = MEDIPS.couplingVector(pattern = "CG", refObj = HD0medipnew1)
Get genomic sequence pattern positions...
Searching in chr1A ...[ 23590660 ] found.
Searching in chr1B ...[ 27672978 ] found.
Searching in chr1D ...[ 20896261 ] found.
Searching in chr2A ...[ 31176892 ] found.
Searching in chr2B ...[ 32155496 ] found.
Searching in chr2D ...[ 27560821 ] found.
Searching in chr3A ...[ 29825837 ] found.
Searching in chr3B ...[ 33423157 ] found.
Searching in chr3D ...[ 25973362 ] found.
Searching in chr4A ...[ 29541297 ] found.
Searching in chr4B ...[ 27007257 ] found.
Searching in chr4D ...[ 21603933 ] found.
Searching in chr5A ...[ 28266938 ] found.
Searching in chr5B ...[ 101245 ] found.
Searching in chr5D ...[ 175696 ] found.
Searching in chr6A ...[ 300449 ] found.
Searching in chr6B ...[ 436766 ] found.
Searching in chr6D ...[ 528029 ] found.
Searching in chr7A ...Error in .local(con, format, text, ...) : UCSC library operation failed
In addition: Warning message:
In .local(con, format, text, ...) :
  twoBitReadSeqFrag in chr7A end (15566174) >= seqSize (15508575)

Could anyone suggest me where I am going wrong?

Your help in this connection will be highly appreciated.

 

> sessionInfo()
R version 3.5.1 (2018-07-02)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 17134)

Matrix products: default

locale:
[1] LC_COLLATE=English_United States.1252  LC_CTYPE=English_United States.1252    LC_MONETARY=English_United States.1252 LC_NUMERIC=C                           LC_TIME=English_United States.1252    

attached base packages:
[1] stats4    parallel  stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] BSgenome.Taestivum.Refseqv1.0_1.0 MEDIPS_1.32.0                     Rsamtools_1.32.3                  BSgenome_1.48.0                   rtracklayer_1.40.6                Biostrings_2.48.0                
 [7] XVector_0.20.0                    GenomicRanges_1.32.7              GenomeInfoDb_1.16.0               IRanges_2.14.12                   S4Vectors_0.18.3                  BiocGenerics_0.26.0              
[13] devtools_1.13.6                  

loaded via a namespace (and not attached):
 [1] Rcpp_0.12.19                BiocInstaller_1.30.0        compiler_3.5.1              BiocManager_1.30.3          git2r_0.23.0                prettyunits_1.0.2           progress_1.2.0              bitops_1.0-6               
 [9] tools_3.5.1                 zlibbioc_1.26.0             biomaRt_2.36.1              digest_0.6.18               bit_1.1-14                  preprocessCore_1.42.0       memoise_1.1.0               RSQLite_2.1.1              
[17] lattice_0.20-35             pkgconfig_2.0.2             rlang_0.2.2                 Matrix_1.2-14               DelayedArray_0.6.6          DBI_1.0.0                   GenomeInfoDbData_1.1.0      httr_1.3.1                 
[25] stringr_1.3.1               withr_2.1.2                 hms_0.4.2                   gtools_3.8.1                bit64_0.9-7                 grid_3.5.1                  Biobase_2.40.0              R6_2.3.0                   
[33] DNAcopy_1.54.0              AnnotationDbi_1.42.1        XML_3.98-1.16               BiocParallel_1.14.2         magrittr_1.5                blob_1.1.1                  matrixStats_0.54.0          GenomicAlignments_1.16.0   
[41] assertthat_0.2.0            SummarizedExperiment_1.10.1 stringi_1.1.7               RCurl_1.95-4.11             crayon_1.3.4         

 

Regards,

gautam.

 

medips coupling set error cpg density • 1.2k views
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Entering edit mode
Lukas Chavez ▴ 570
@lukas-chavez-5781
Last seen 6.7 years ago
USA/La Jolla/UCSD
Hi Gautam, If you are interested in differential methylation between conditions you do not necessarily need CpG density normalization. I do not see a reason why this should be different in plants. For estimates of % DNA methylation I recommend the QSEA package, All the best, Lukas _____________________________________ Lukas Chavez, Ph.D. Assistant Professor, Department of Medicine University of California, San Diego (UCSD) Biomedical Research Facility 2 | Room 2A24 9500 Gilman Drive | MC 0765 | La Jolla, CA 92093 T: 858 246 1919 | Email: lukaschavez@ucsd.edu<mailto:lukaschavez@ucsd.edu> www.oncoepigenomics.org<http: www.oncoepigenomics.org=""> On Oct 12, 2018, at 9:01 PM, saripalligautam86 [bioc] <noreply@bioconductor.org<mailto:noreply@bioconductor.org>> wrote: Activity on a post you are following on support.bioconductor.org<https: support.bioconductor.org=""/> User saripalligautam86<https: support.bioconductor.org="" u="" 17723=""/> wrote Question: Coupling set error in MEDIPS<https: support.bioconductor.org="" p="" 114001=""/>: Dear All, I am tring to analyse my MeDIP-Seq data in wheat using MEDIPS package. For this purpose, as mentioned in my earlier post, I created .2bit file from .fasta whole genome sequence file and then I created a forge bsgenome package and then build the package using devtools in R. I created medipsets using MEDIPS createSet with extend=300, shift=0, ws=500, paired=T. The code I used for creating medipset is as follows: HD0medipnew1=MEDIPS.createSet(file="G:/Lr48/HD0medipnew.bam",BSgenome=BSgenome, paired=TRUE, extend=extend, uniq=uniq, shift=shift, window_size=ws). Then I tried to generate coupling set using the below code.However, after reaching to chromosome 7, i get the error as follows: I tried differential coverage with calculating CpG densities and its working by putting MeDIP=F. I would like to know if in case of plants, is it fine to go without calculating CpG densities(coupling set) or not? I would also like to know if it is required to calculate cpg densities in case of plants or can we go directly for differential coverage without CpG normalisation? > CS = MEDIPS.couplingVector(pattern = "CG", refObj = HD0medipnew1) Get genomic sequence pattern positions... Searching in chr1A ...[ 23590660 ] found. Searching in chr1B ...[ 27672978 ] found. Searching in chr1D ...[ 20896261 ] found. Searching in chr2A ...[ 31176892 ] found. Searching in chr2B ...[ 32155496 ] found. Searching in chr2D ...[ 27560821 ] found. Searching in chr3A ...[ 29825837 ] found. Searching in chr3B ...[ 33423157 ] found. Searching in chr3D ...[ 25973362 ] found. Searching in chr4A ...[ 29541297 ] found. Searching in chr4B ...[ 27007257 ] found. Searching in chr4D ...[ 21603933 ] found. Searching in chr5A ...[ 28266938 ] found. Searching in chr5B ...[ 101245 ] found. Searching in chr5D ...[ 175696 ] found. Searching in chr6A ...[ 300449 ] found. Searching in chr6B ...[ 436766 ] found. Searching in chr6D ...[ 528029 ] found. Searching in chr7A ...Error in .local(con, format, text, ...) : UCSC library operation failed In addition: Warning message: In .local(con, format, text, ...) : twoBitReadSeqFrag in chr7A end (15566174) >= seqSize (15508575) Could anyone suggest me where I am going wrong? Your help in this connection will be highly appreciated. > sessionInfo() R version 3.5.1 (2018-07-02) Platform: x86_64-w64-mingw32/x64 (64-bit) Running under: Windows 10 x64 (build 17134) Matrix products: default locale: [1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United States.1252 LC_MONETARY=English_United States.1252 LC_NUMERIC=C LC_TIME=English_United States.1252 attached base packages: [1] stats4 parallel stats graphics grDevices utils datasets methods base other attached packages: [1] BSgenome.Taestivum.Refseqv1.0_1.0 MEDIPS_1.32.0 Rsamtools_1.32.3 BSgenome_1.48.0 rtracklayer_1.40.6 Biostrings_2.48.0 [7] XVector_0.20.0 GenomicRanges_1.32.7 GenomeInfoDb_1.16.0 IRanges_2.14.12 S4Vectors_0.18.3 BiocGenerics_0.26.0 [13] devtools_1.13.6 loaded via a namespace (and not attached): [1] Rcpp_0.12.19 BiocInstaller_1.30.0 compiler_3.5.1 BiocManager_1.30.3 git2r_0.23.0 prettyunits_1.0.2 progress_1.2.0 bitops_1.0-6 [9] tools_3.5.1 zlibbioc_1.26.0 biomaRt_2.36.1 digest_0.6.18 bit_1.1-14 preprocessCore_1.42.0 memoise_1.1.0 RSQLite_2.1.1 [17] lattice_0.20-35 pkgconfig_2.0.2 rlang_0.2.2 Matrix_1.2-14 DelayedArray_0.6.6 DBI_1.0.0 GenomeInfoDbData_1.1.0 httr_1.3.1 [25] stringr_1.3.1 withr_2.1.2 hms_0.4.2 gtools_3.8.1 bit64_0.9-7 grid_3.5.1 Biobase_2.40.0 R6_2.3.0 [33] DNAcopy_1.54.0 AnnotationDbi_1.42.1 XML_3.98-1.16 BiocParallel_1.14.2 magrittr_1.5 blob_1.1.1 matrixStats_0.54.0 GenomicAlignments_1.16.0 [41] assertthat_0.2.0 SummarizedExperiment_1.10.1 stringi_1.1.7 RCurl_1.95-4.11 crayon_1.3.4 Regards, gautam. ________________________________ Post tags: medips, coupling set error, cpg density You may reply via email or visit Coupling set error in MEDIPS
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Thanks Lukas.

 

I will try QSEA package as suggested.However, could you point out a possible reason for the error which I encountered during coupling set function?Why the process stopped at reaching to chromosome 7?Do, I need to worry about this or proceed further with my analysis?

 

Regards,

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Entering edit mode
@saripalligautam86-17723
Last seen 6.0 years ago

Thanks Lukas.

 

I will try QSEA package as suggested.However, could you point out a possible reason for the error which I encountered during coupling set function?Why the process stopped at reaching to chromosome 7?Do, I need to worry about this or proceed further with my analysis?

 

Regards,

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