Hi Robert, Jianhong,

This could be related to some changes to the relist() and split() code
that I made a few days ago in IRanges. I didn't immediately make the
corresponding changes to GenomicRanges and GenomicAlignments so
relisting or splitting GRanges and GAlignments objects was broken for
a couple of days, which had all kinds of nasty consequences in many
places (relist() and split() are used a lot internally).

Updated versions of GenomicRanges and GenomicAlignments are now online
so please make sure you have the latest versions (1.15.17 for
GenomicRanges and 0.99.10 for GenomicAlignments).

Sorry for the inconvenience and please let me know if you still run
into problems with this.

H.

On 12/20/2013 10:15 AM, Robert Castelo wrote:
hi,

i can reproduce what Jianhong says, i noticed it earlier this week but
didn't mention because we all know devel is a moving target and so on,
but since this has been raised now i'll report what i'm getting.

so, this is for Jianhong, if you downgrade the following packages to
these particular versions:

Biostrings_2.31.3.tar.gz
GenomicRanges_1.15.15.tar.gz
IRanges_1.21.13.tar.gz
XVector_0.3.2.tar.gz

you'll be all fine, unless you need some functionality of later versions
of them, here is the test with the session information:

suppressPackageStartupMessages(library(TxDb.Hsapiens.UCSC.hg19.knownGene))
Warning messages:
1: multiple methods tables found for ‘rname’
2: multiple methods tables found for ‘rname<-’
3: multiple methods tables found for ‘cigar’
4: multiple methods tables found for ‘qwidth’
5: multiple methods tables found for ‘introns’
system.time(txbygene <- transcriptsBy(TxDb.Hsapiens.UCSC.hg19.knownGene,
"gene"))
    user  system elapsed
   2.524   0.046   2.575

sessionInfo()
R Under development (unstable) (2013-10-20 r64082)
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] parallel  stats     graphics  grDevices utils     datasets  methods
[8] base

other attached packages:
  [1] TxDb.Hsapiens.UCSC.hg19.knownGene_2.10.1
  [2] GenomicFeatures_1.15.4
  [3] AnnotationDbi_1.25.9
  [4] Biobase_2.23.3
  [5] GenomicRanges_1.15.11
  [6] XVector_0.3.2
  [7] IRanges_1.21.13
  [8] BiocGenerics_0.9.2
  [9] vimcom_0.9-92
[10] setwidth_1.0-3
[11] colorout_1.0-1

loaded via a namespace (and not attached):
  [1] biomaRt_2.19.1           Biostrings_2.31.3        bitops_1.0-6
  [4] BSgenome_1.31.7          DBI_0.2-7 GenomicAlignments_0.99.9
  [7] RCurl_1.95-4.1           Rsamtools_1.15.15        RSQLite_0.11.4
[10] rtracklayer_1.23.6       stats4_3.1.0             tools_3.1.0
[13] XML_3.98-1.1             zlibbioc_1.9.0


however, if you go to the bleeding edge of devel BioC:

suppressPackageStartupMessages(library(TxDb.Hsapiens.UCSC.hg19.knownGene))
system.time(txbygene <- transcriptsBy(TxDb.Hsapiens.UCSC.hg19.knownGene,
"gene"))

the previous call never ends until you press CTRL+C:

^C
Error in unlist(lapply(c("seqnames", "ranges", "strand", "mcols"),
checkCoreGetterReturnedLength)) :
   error in evaluating the argument 'x' in selecting a method for
function 'unlist': Error in NROW(get(getter)(x)) :
   error in evaluating the argument 'x' in selecting a method for
function 'NROW': Error in get(getter)(x) :
   error in evaluating the argument 'x' in selecting a method for
function 'ranges':
Timing stopped at: 24.5 0.072 24.619

sessionInfo()
R Under development (unstable) (2013-10-20 r64082)
Platform: x86_64-unknown-linux-gnu (64-bit)

locale:
  [1] LC_CTYPE=en_US.UTF8       LC_NUMERIC=C LC_TIME=en_US.UTF8
LC_COLLATE=en_US.UTF8
  [5] LC_MONETARY=en_US.UTF8    LC_MESSAGES=en_US.UTF8
LC_PAPER=en_US.UTF8       LC_NAME=C
  [9] LC_ADDRESS=C              LC_TELEPHONE=C LC_MEASUREMENT=en_US.UTF8
LC_IDENTIFICATION=C

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

other attached packages:
  [1] TxDb.Hsapiens.UCSC.hg19.knownGene_2.10.1 GenomicFeatures_1.15.4
  [3] AnnotationDbi_1.25.9                     Biobase_2.23.3
  [5] GenomicRanges_1.15.15                    XVector_0.3.5
  [7] IRanges_1.21.17                          BiocGenerics_0.9.2
  [9] vimcom_0.9-92                            setwidth_1.0-3
[11] colorout_1.0-1

loaded via a namespace (and not attached):
  [1] biomaRt_2.19.1           Biostrings_2.31.5        bitops_1.0-6
          BSgenome_1.31.7
  [5] DBI_0.2-7                GenomicAlignments_0.99.9 RCurl_1.95-4.1
          Rsamtools_1.15.15
  [9] RSQLite_0.11.4           rtracklayer_1.23.6       stats4_3.1.0
          tools_3.1.0
[13] XML_3.98-1.1             zlibbioc_1.9.0



cheers,
robert.


On 12/20/2013 06:31 PM, Ou, Jianhong wrote:
In my case, looks like never end.

I need to check my R first.

Yours sincerely,

Jianhong Ou

LRB 670A
Program in Gene Function and Expression
364 Plantation Street Worcester,
MA 01605




On 12/20/13 12:05 PM, "Hervé Pagès"<hpa...@fhcrc.org>  wrote:

Hi Jianhong,

According to my timings, it's a little bit slower than exonsBy() but
not that much. It has to do a little bit more work too as the introns
are not explicitly stored in the SQLite db (the exons are) but are
inferred from the exons and transcript boundaries.
So intronsByTranscript() has to retrieve all the exons + all the
transcripts from the db.

intronsByTranscript():

   library(TxDb.Hsapiens.UCSC.hg19.knownGene)
   system.time(introns<-
intronsByTranscript(TxDb.Hsapiens.UCSC.hg19.knownGene))
   #   user  system elapsed
   #  9.165   0.076   9.263
   system.time(introns<-
intronsByTranscript(TxDb.Hsapiens.UCSC.hg19.knownGene))
   #   user  system elapsed
   #  4.824   0.064   4.896

exonsBy():

   library(TxDb.Hsapiens.UCSC.hg19.knownGene)
   system.time(exons<- exonsBy(TxDb.Hsapiens.UCSC.hg19.knownGene))
   #   user  system elapsed
   #  7.720   0.072   7.812
   system.time(exons<- exonsBy(TxDb.Hsapiens.UCSC.hg19.knownGene))
   #   user  system elapsed
   #  4.229   0.028   4.265

transcripts():

   library(TxDb.Hsapiens.UCSC.hg19.knownGene)
   system.time(tx<- transcripts(TxDb.Hsapiens.UCSC.hg19.knownGene))
   #   user  system elapsed
   #  1.424   0.008   1.436
   system.time(tx<- transcripts(TxDb.Hsapiens.UCSC.hg19.knownGene))
   #   user  system elapsed
   #  0.776   0.012   0.790

Less than 10 sec. to retrieve all the exons and transcripts from disk
and compute the 659327 introns. It's actually not that bad.

Cheers,
H.


On 12/20/2013 08:25 AM, Ou, Jianhong wrote:
Dear all,

When I try to use intronsByTranscript to get introns for hg19 known
genes, I found it is unacceptable slow. Does any body has the same
problem?

My code:
library(GenomicFeatures)
library(TxDb.Hsapiens.UCSC.hg19.knownGene)
introns<- intronsByTranscript(TxDb.Hsapiens.UCSC.hg19.knownGene)

sessionInfo()
R Under development (unstable) (2013-12-12 r64453)
Platform: x86_64-apple-darwin12.5.0 (64-bit)

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

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

other attached packages:
[1] TxDb.Hsapiens.UCSC.hg19.knownGene_2.10.1 GenomicFeatures_1.15.4
[3] AnnotationDbi_1.25.9                     Biobase_2.23.3
[5] GenomicRanges_1.15.15                    XVector_0.3.5
[7] IRanges_1.21.17                          BiocGenerics_0.9.2

loaded via a namespace (and not attached):
   [1] biomaRt_2.19.1           Biostrings_2.31.5        bitops_1.0-6
         BSgenome_1.31.7
   [5] DBI_0.2-7                GenomicAlignments_0.99.9 RCurl_1.95-4.1
         Rsamtools_1.15.15
   [9] RSQLite_0.11.4           rtracklayer_1.23.6       stats4_3.1.0
         tools_3.1.0
[13] XML_3.98-1.1             zlibbioc_1.9.0

Yours sincerely,

Jianhong Ou

LRB 670A
Program in Gene Function and Expression
364 Plantation Street Worcester,
MA 01605

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--
Hervé Pagès

Program in Computational Biology
Division of Public Health Sciences
Fred Hutchinson Cancer Research Center
1100 Fairview Ave. N, M1-B514
P.O. Box 19024
Seattle, WA 98109-1024

E-mail: hpa...@fhcrc.org
Phone:  (206) 667-5791
Fax:    (206) 667-1319

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--
Hervé Pagès

Program in Computational Biology
Division of Public Health Sciences
Fred Hutchinson Cancer Research Center
1100 Fairview Ave. N, M1-B514
P.O. Box 19024
Seattle, WA 98109-1024

E-mail: hpa...@fhcrc.org
Phone:  (206) 667-5791
Fax:    (206) 667-1319

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