SpliceMap in QuasR package failing when sorting 25mer-alignments
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@nadia_boufaied-9356
Last seen 8.5 years ago
Canada

Hi, 

I am using the QuasR package to analyse my RNASEQ data. when I run qAlign using bowtie, it works but when I rather use the spliceMap I got this error message "failed while sorting 25mer-alignments". I read all the literature I could find on QuasR and I have not been able to figure out how to fix this problem. Does someone Have I idea what causing this error

thank you

rnaseq quasr alignment • 2.1k views
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Hi Nadia

I have seen this problem before and there might be a solution, or not, depending on how you use QuasR:

 - what is the read length?

 - are using an auxillary file?

 - sessionInfo()

 

Regards, Hans-Rudolf

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@nadia_boufaied-9356
Last seen 8.5 years ago
Canada

Hi Hans_Rudolf, 

1- my read length is 36 pb 

3- session info: I am pasting all the session info a got in from R

R version 3.2.2 (2015-08-14)
Platform: x86_64-apple-darwin13.4.0 (64-bit)
Running under: OS X 10.10.5 (Yosemite)

locale:
[1] en_CA.UTF-8/en_CA.UTF-8/en_CA.UTF-8/C/en_CA.UTF-8/en_CA.UTF-8

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

other attached packages:
 [1] Rsubread_1.20.2                         ShortRead_1.28.0                        GenomicAlignments_1.6.1                
 [4] SummarizedExperiment_1.0.1              Rsamtools_1.22.0                        BiocParallel_1.4.0                     
 [7] SRAdb_1.28.0                            RCurl_1.95-4.7                          bitops_1.0-6                           
[10] graph_1.48.0                            BiocInstaller_1.20.1                    org.Hs.eg.db_3.2.3                     
[13] TxDb.Hsapiens.UCSC.hg19.knownGene_3.2.2 GenomicFeatures_1.22.5                  AnnotationDbi_1.32.0                   
[16] Biobase_2.30.0                          BSgenome.Hsapiens.UCSC.hg19_1.4.0       BSgenome_1.38.0                        
[19] rtracklayer_1.30.1                      Biostrings_2.38.2                       XVector_0.10.0                         
[22] QuasR_1.10.0                            Rbowtie_1.10.0                          GenomicRanges_1.22.1                   
[25] GenomeInfoDb_1.6.1                      IRanges_2.4.4                           S4Vectors_0.8.3                        
[28] BiocGenerics_0.16.1                     RSQLite_1.0.0                           DBI_0.3.1                              

loaded via a namespace (and not attached):
 [1] Rcpp_0.12.2          RColorBrewer_1.1-2   futile.logger_1.4.1  plyr_1.8.3           futile.options_1.0.0
 [6] GenomicFiles_1.6.0   tools_3.2.2          zlibbioc_1.16.0      biomaRt_2.26.1       digest_0.6.8        
[11] lattice_0.20-33      gtable_0.1.2         GEOquery_2.36.0      proto_0.3-10         hwriter_1.3.2       
[16] stringr_1.0.0        grid_3.2.2           XML_3.98-1.3         latticeExtra_0.6-26  ggplot2_1.0.1       
[21] reshape2_1.4.1       lambda.r_1.1.7       magrittr_1.5         scales_0.3.0         MASS_7.3-45         
[26] colorspace_1.2-6     stringi_1.0-1        munsell_0.4.2      

however I don't know what do you mean exactly by auxiliary file but I don't think I using any

Thank you 

Nadia

 

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@hotz-hans-rudolf-3951
Last seen 4.1 years ago
Switzerland

Hi Nadia

The QuasR tool qAlign has an option "auxiliaryFile" which allows you to align your reads in addition to the genome to other auxiliary files to check for spike-ins, contamination, etc.

But let's go back to your original question:  The problem is the rather short read length of only 36nts. SpliceMap struggles with reads shorter than 50nts. See the original reference for more details (Au KF, Jiang H, Lin L, Xing Y and Wong WH (2010). “Detection of splice junctions from paired-end RNA-seq data by SpliceMap.” Nucleic Acids Research, 38(14), pp. 4570–4578. http://nar.oxfordjournals.org/content/38/14/4570.full )

Regards, Hans-Rudolf

 

 

 

 

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Entering edit mode

Thank you, Han-Rudolf

After reading the paper, it makes sense 

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Entering edit mode

Thank you, Han-Rudolf

After reading the paper, it makes sense 

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