[Bioc-devel] VariantAnnotation::readVcf(fl, seqinfo(scanVcfHeader(fl)) problem

Valerie Obenchain vobencha at fhcrc.org
Fri Oct 24 20:52:57 CEST 2014


This is a good question. I'm not sure we want seqlevelsStyle() to also 
alter the genome value. I think it's a reasonable request but I'd like 
to open it up to discussion. I've cc'd a few others for input.

Valerie



On 10/24/14 09:05, Robert Castelo wrote:
> hi Valerie,
>
> thanks for the quick fix and updating the documentation, i have a
> further question about the seqinfo slot and particularly the use of
> seqlevelsStyle(). Let me illustrate it with an example again:
>
>
> ==============
> library(VariantAnnotation)
> library(TxDb.Hsapiens.UCSC.hg19.knownGene)
>
> ## read again the same VCF file
> fl <- file.path(system.file("extdata", package="VariantFiltering"),
> "CEUtrio.vcf.bgz")
> vcf <- readVcf(fl, seqinfo(scanVcfHeader(fl)))
>
> txdb <- TxDb.Hsapiens.UCSC.hg19.knownGene
>
> ## select the standard chromosomes
> vcf <- keepStandardChromosomes(vcf)
>
> ## since the input VCF file had NCBI style, let's match
> ## the style of the TxDb annotations
> seqlevelsStyle(vcf) <- seqlevelsStyle(txdb)
>
> ## drop the mitochondrial chromosome (b/c of the different lengths
> ## between b37 and hg19
> vcf <- dropSeqlevels(vcf, "chrM")
>
> ## try to annotate the location of the variants. it prompts an
> ## error because the 'genome' slot of the Seqinfo object still
> ## has b37 after running seqlevelsStyle
> vcf_annot <- locateVariants(vcf, txdb, AllVariants())
> Error in mergeNamedAtomicVectors(genome(x), genome(y), what =
> c("sequence",  :
>    sequences chr1, chr2, chr3, chr4, chr5, chr6, chr7, chr8, chr9,
> chr10, chr11, chr12, chr13, chr14, chr15, chr16, chr17, chr18, chr19,
> chr20, chr21, chr22, chrX, chrY, chrM have incompatible genomes:
>    - in 'x': b37, b37, b37, b37, b37, b37, b37, b37, b37, b37, b37, b37,
> b37, b37, b37, b37, b37, b37, b37, b37, b37, b37, b37, b37, b37
>    - in 'y': hg19, hg19, hg19, hg19, hg19, hg19, hg19, hg19, hg19, hg19,
> hg19, hg19, hg19, hg19, hg19, hg19, hg19, hg19, hg19, hg19, hg19, hg19,
> hg19, hg19, hg19
>
> ## this can be fixed by setting the 'genome' slot to the values of
> ## the TxDb object
> genome(vcf) <- genome(txdb)[intersect(names(genome(vcf)),
> names(genome(txdb)))]
>
> ## now this works
> vcf_annot <- locateVariants(vcf, txdb, AllVariants())
> =================
>
> so my question is, should not seqlevelsStyle() also change the 'genome'
> slot of the Seqinfo object in the updated object?
>
> if not, would the solution be updating the 'genome' slot in the way i
> did it?
>
> thanks!
> robert.
>
>
> On 10/23/2014 11:14 PM, Valerie Obenchain wrote:
>> Hi Robert,
>>
>> Thanks for the bug report and reproducible example. Now fixed in release
>> 1.12.2 and devel 1.13.4.
>>
>> I've also updated the docs to better explain how the Seqinfo objects are
>> propagated / merged when supplied as 'genome'.
>>
>> Valerie
>>
>>
>> On 10/23/2014 06:45 AM, Robert Castelo wrote:
>>> hi there,
>>>
>>> in my package VariantFiltering i have an example VCF file from a Hapmap
>>> CEU trio including three chromosomes only to illustrate its vignette.
>>> i've come across a problem with the function readVcf() in
>>> VariantAnnotation that may be specific of the situation of a VCF file
>>> not having all chromosomes, but which it will be great for me if this
>>> could be addressed.
>>>
>>> the problem is reproduced as follows:
>>>
>>> ===========================
>>> library(VariantAnnotation)
>>>
>>> fl <- file.path(system.file("extdata", package="VariantFiltering"),
>>> "CEUtrio.vcf.bgz")
>>>
>>> vcf <- readVcf(fl, seqinfo(scanVcfHeader(fl)))
>>> Error in GenomeInfoDb:::makeNewSeqnames(x, new2old = new2old,
>>> seqlevels(value)) :
>>> when 'new2old' is NULL, the first elements in the
>>> supplied 'seqlevels' must be identical to 'seqlevels(x)'
>>> ====================
>>>
>>> this is caused because although i'm providing the Seqinfo object derived
>>> from the header of the VCF file itself, at some point the ordering of
>>> the seqlevels between the header and the rest of the VCF file differs
>>> due to the smaller subset of chromosomes in the VCF file.
>>>
>>> This can be easily fixed by replacing the line:
>>>
>>> if (length(newsi) > length(oldsi)) {
>>>
>>> within the .scanVcfToVCF() function in methods-readVcf.R, by
>>>
>>> if (length(newsi) >= length(oldsi)) {
>>>
>>> this is happening both in release and devel. i'm pasting below my
>>> sessionInfo() for the release.
>>>
>>> let me know if you think this fix is feasible or i'm wrongly using the
>>> function readVcf(). i'm basically trying to use readVcf() without having
>>> to figure out the appropriate value for the argument 'genome', i.e.,
>>> without knowing beforehand what version of the genome was used to
>>> produce the VCF file.
>>>
>>> thanks!!
>>> robert.
>>>
>>>
>>> sessionInfo()
>>> R version 3.1.1 Patched (2014-10-13 r66751)
>>> Platform: x86_64-unknown-linux-gnu (64-bit)
>>>
>>> locale:
>>> [1] LC_CTYPE=en_US.UTF8 LC_NUMERIC=C
>>> [3] LC_TIME=en_US.UTF8 LC_COLLATE=en_US.UTF8
>>> [5] LC_MONETARY=en_US.UTF8 LC_MESSAGES=en_US.UTF8
>>> [7] LC_PAPER=en_US.UTF8 LC_NAME=C
>>> [9] LC_ADDRESS=C LC_TELEPHONE=C
>>> [11] LC_MEASUREMENT=en_US.UTF8 LC_IDENTIFICATION=C
>>>
>>> attached base packages:
>>> [1] stats4 parallel stats graphics grDevices
>>> [6] utils datasets methods base
>>>
>>> other attached packages:
>>> [1] VariantAnnotation_1.12.0 Rsamtools_1.18.0
>>> [3] Biostrings_2.34.0 XVector_0.6.0
>>> [5] GenomicRanges_1.18.0 GenomeInfoDb_1.2.0
>>> [7] IRanges_2.0.0 S4Vectors_0.4.0
>>> [9] BiocGenerics_0.12.0 vimcom_1.0-0
>>> [11] setwidth_1.0-3 colorout_1.0-3
>>>
>>> loaded via a namespace (and not attached):
>>> [1] AnnotationDbi_1.28.0 base64enc_0.1-2
>>> [3] BatchJobs_1.4 BBmisc_1.7
>>> [5] Biobase_2.26.0 BiocParallel_1.0.0
>>> [7] biomaRt_2.22.0 bitops_1.0-6
>>> [9] brew_1.0-6 BSgenome_1.34.0
>>> [11] checkmate_1.4 codetools_0.2-9
>>> [13] DBI_0.3.1 digest_0.6.4
>>> [15] fail_1.2 foreach_1.4.2
>>> [17] GenomicAlignments_1.2.0 GenomicFeatures_1.18.0
>>> [19] iterators_1.0.7 RCurl_1.95-4.3
>>> [21] RSQLite_0.11.4 rtracklayer_1.26.0
>>> [23] sendmailR_1.2-1 stringr_0.6.2
>>> [25] tools_3.1.1 XML_3.98-1.1
>>> [27] zlibbioc_1.12.0
>>>
>>> _______________________________________________
>>> Bioc-devel at r-project.org mailing list
>>> https://stat.ethz.ch/mailman/listinfo/bioc-devel
>>
>>
>



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