[Bioc-devel] little tiny bug in CDSID annotations from predictCoding()

Robert Castelo robert.castelo at upf.edu
Tue Mar 17 20:43:03 CET 2015


Ah, ok, sorry. I didn't get that this was also fixed at the same time.

Thanks!!!!
robert.



-------- Original message --------
From: Valerie Obenchain <vobencha at fredhutch.org> 
Date:17/03/2015  19:59  (GMT+01:00) 
To: Robert Castelo <robert.castelo at upf.edu>,bioc-devel at r-project.org 
Subject: Re: [Bioc-devel] little tiny bug in CDSID annotations from  predictCoding() 

The second mapping in .localCoordinates() in AllUtils.R was using a 
listed 'to' instead of unlisted 'to'. This means the mapping was at the 
level of the outer list elements vs the inner.  We want to map/overlap 
with an unlisted object because each range can have a different CDSID. 
This second mapping provided the index for retrieving the CDSIDs which 
is why you saw a difference between the two.

This was a bug for predictCoding only.

Valerie


On 03/17/2015 11:39 AM, Robert Castelo wrote:
> Thanks! Do you have an explanation for the apparent disagreement in
> CDSID annotations that i described below the bug, between
> predictCoding() and locateVariants()?
>
> robert.
>
>
> -------- Original message --------
> From: Valerie Obenchain
> Date:17/03/2015 19:18 (GMT+01:00)
> To: bioc-devel at r-project.org
> Subject: Re: [Bioc-devel] little tiny bug in CDSID annotations from
> predictCoding()
>
> Hi Robert,
>
> Thanks for reporting the typo and bug. Now fixed in 1.13.41.
>
> Valerie
>
> On 03/17/2015 10:58 AM, Robert Castelo wrote:
>  > in my message below, the line that it says:
>  >
>  > head(loc_all$CDSID)
>  >
>  > it should say
>  >
>  > head(coding2$CDSID)
>  >
>  > cheers,
>  >
>  > robert.
>  >
>  > ==========================================
>  > hi,
>  >
>  > there is a little tiny bug in the current devel version of
>  > VariantAnnotation::predictCoding(), and more concretely within
>  > VariantAnnotation:::.localCoordinates(), that precludes the correct
>  > annotation of the CDSID column:
>  >
>  > library(VariantAnnotation)
>  > library(TxDb.Hsapiens.UCSC.hg19.knownGene)
>  > library(BSgenome.Hsapiens.UCSC.hg19)
>  >
>  > vcf <- readVcf(system.file("extdata", "CEUtrio.vcf.bgz",
>  > package="VariantFiltering"), genome="hg19")
>  > seqlevelsStyle(vcf) <- seqlevelsStyle(txdb)
>  > vcf <- dropSeqlevels(vcf, "chrM")
>  > coding1 <- predictCoding(vcf, txdb, Hsapiens)
>  > head(coding1$CDSID)
>  > IntegerList of length 6
>  > [[1]] integer(0)
>  > [[2]] integer(0)
>  > [[3]] integer(0)
>  > [[4]] integer(0)
>  > [[5]] integer(0)
>  > [[6]] integer(0)
>  > table(elementLengths(coding1$CDSID))
>  >
>  >     0
>  > 6038
>  >
>  > my sessionInfo() is at the end of the message.
>  >
>  > here is the patch, just replacing 'map2$trancriptHits' by
>  > 'map2$transcriptsHits':
>  >
>  > --- R/AllUtilities.R    (revision 100756)
>  > +++ R/AllUtilities.R    (working copy)
>  > @@ -284,7 +284,7 @@
>  >       cdsid <- IntegerList(integer(0))
>  >       map2 <- mapToTranscripts(unname(from)[xHits], to,
>  >                                ignore.strand=ignore.strand)
>  > -    cds <- mcols(unlist(to,
> use.names=FALSE))$cds_id[map2$trancriptsHits]
>  > +    cds <- mcols(unlist(to,
> use.names=FALSE))$cds_id[map2$transcriptsHits]
>  >       if (length(cds)) {
>  >           cdslst <- unique(splitAsList(cds, map2$xHits))
>  >           cdsid <- cdslst
>  >
>  > with this fix then things seem to work again:
>  >
>  > coding1 <- predictCoding(vcf, txdb, Hsapiens)
>  >> head(coding1$CDSID)
>  > IntegerList of length 6
>  > [["1"]] 21771
>  > [["2"]] 21771
>  > [["3"]] 21771
>  > [["4"]] 21771
>  > [["5"]] 21428
>  > [["6"]] 21428
>  > table(elementLengths(coding1$CDSID))
>  >
>  >     1    2    3    4    5    6    7    8    9   10   12   13   14
> 16   19
>  >   873 1229 1024  993  615  524  324  168   82   21   12   15   42
> 76   40
>  >
>  > while investigating this bug i used VariantAnnotation::locateVariants()
>  > which also annotates the CDSID column, and it seemed to be working.
>  > however, i noticed that both, predictCoding() and locateVariants(), do
>  > not give an identical annotation for the CDSID column in coding variants:
>  >
>  > coding2 <- locateVariants(vcf, txdb, CodingVariants())
>  > head(loc_all$CDSID)
>  > IntegerList of length 6
>  > [["1"]] 210777
>  > [["2"]] 210777
>  > [["3"]] 210777
>  > [["4"]] 210778
>  > [["5"]] 208140
>  > [["6"]] 208141
>  > table(elementLengths(coding2$CDSID))
>  >
>  >     1    2    3    4
>  > 4987  901  138   12
>  >
>  > in principle, it seems that both are annotating valid CDSID keys:
>  >
>  > allcdsinfo <- select(txdb, keys=keys(txdb, keytype="CDSID"),
>  > columns="CDSID", keytype="CDSID")
>  > sum(!as.character(unlist(coding1$CDSID, use.names=FALSE)) %in%
>  > allcdsinfo$CDSID)
>  > [1] 0
>  > sum(!as.character(unlist(coding2$CDSID, use.names=FALSE)) %in%
>  > allcdsinfo$CDSID)
>  > [1] 0
>  >
>  > but predictCoding() annotates CDSID values that are not present in
>  > locateVariants() annotations and viceversa:
>  >
>  > sum(!as.character(unlist(coding1$CDSID, use.names=FALSE)) %in%
>  > as.character(unlist(coding2$CDSID, use.names=FALSE)))
>  > [1] 24057
>  > sum(!as.character(unlist(coding2$CDSID, use.names=FALSE)) %in%
>  > as.character(unlist(coding1$CDSID, use.names=FALSE)))
>  > [1] 7251
>  >
>  > length(unique(intersect(as.character(unlist(coding2$CDSID,
>  > use.names=FALSE)), as.character(unlist(coding1$CDSID,
> use.names=FALSE)))))
>  > [1] 0
>  >
>  > should not both annotate the same CDSID values on coding variants?
>  >
>  >
>  > thanks!
>  > robert.
>  > ps: sessionInfo()
>  > R Under development (unstable) (2014-10-14 r66765)
>  > 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] TxDb.Hsapiens.UCSC.hg19.knownGene_3.1.1
>  >   [2] GenomicFeatures_1.19.31
>  >   [3] AnnotationDbi_1.29.17
>  >   [4] Biobase_2.27.2
>  >   [5] BSgenome.Hsapiens.UCSC.hg19_1.4.0
>  >   [6] BSgenome_1.35.17
>  >   [7] rtracklayer_1.27.8
>  >   [8] VariantAnnotation_1.13.40
>  >   [9] Rsamtools_1.19.44
>  > [10] Biostrings_2.35.11
>  > [11] XVector_0.7.4
>  > [12] GenomicRanges_1.19.46
>  > [13] GenomeInfoDb_1.3.13
>  > [14] IRanges_2.1.43
>  > [15] S4Vectors_0.5.22
>  > [16] BiocGenerics_0.13.6
>  > [17] vimcom_1.0-0
>  > [18] setwidth_1.0-3
>  > [19] colorout_1.0-3
>  >
>  > loaded via a namespace (and not attached):
>  >   [1] BiocParallel_1.1.15      biomaRt_2.23.5
>  >   [3] bitops_1.0-6             DBI_0.3.1
>  >   [5] GenomicAlignments_1.3.31 RCurl_1.95-4.5
>  >   [7] RSQLite_1.0.0            tools_3.2.0
>  >   [9] XML_3.98-1.1             zlibbioc_1.13.2
>  >
>  > _______________________________________________
>  > Bioc-devel at r-project.org mailing list
>  > https://stat.ethz.ch/mailman/listinfo/bioc-devel
>
> _______________________________________________
> Bioc-devel at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/bioc-devel


-- 
Computational Biology / Fred Hutchinson Cancer Research Center
1100 Fairview Ave. N, Seattle, WA 98109

Email: vobencha at fredhutch.org
Phone: (206) 667-3158

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