[Bioc-devel] chromosome lengths (seqinfo) for supported BSgenome builds into GenomeInfoDb?

Gabe Becker becker.gabe at gene.com
Fri Jun 5 22:05:15 CEST 2015


That sounds like it calls for an (class-style) inheritence/genome-union
 model to me. I should probably stop talking now before the people who
would have to implement that start throwing things at me, though.

~G

On Fri, Jun 5, 2015 at 12:54 PM, Kasper Daniel Hansen <
kasperdanielhansen at gmail.com> wrote:

> In WGBS we frequently sequence a human with spikein from the lambda
> genome.  In this case, most of the chromosomes of the Granges are from
> human, except one.  This is a usecase where genome(GR) is not constant.  I
> suggest, partly for compatibility, to keep genome, but perhaps do something
> like
>   standardizeGenome()
> or something like this.
>
> I would indeed love, love, love a function which just cleans it up.
>
> Kasper
>
> On Fri, Jun 5, 2015 at 2:51 PM, Gabe Becker <becker.gabe at gene.com> wrote:
>
>> Herve,
>>
>> This is probably a naive question, but what usecases are there for
>> creating
>> an object with the wrong seqinfo for its genome?
>>
>> ~G
>>
>> On Fri, Jun 5, 2015 at 11:43 AM, Michael Lawrence <
>> lawrence.michael at gene.com
>> > wrote:
>>
>> > On Thu, Jun 4, 2015 at 11:48 PM, Hervé Pagès <hpages at fredhutch.org>
>> wrote:
>> > > I also think that we're heading towards something like that.
>> > >
>> > > So genome(gr) <- "hg19" would:
>> > >
>> > >   (a) Add any missing information to the seqinfo.
>> > >   (b) Sort the seqlevels in "canonical" order.
>> > >   (c) Change the seqlevels style to UCSC style if they are not.
>> > >
>> > > The 3 tasks are orthogonal. I guess most of the times people want
>> > > an easy way to perform them all at once.
>> > >
>> > > We could easily support (a) and (b). This assumes that the current
>> > > seqlevels are already valid hg19 seqlevels:
>> > >
>> > >   si1 <- Seqinfo(c("chrX", "chrUn_gl000249", "chr2", "chr6_cox_hap2"))
>> > >   gr1 <- GRanges(seqinfo=si1)
>> > >   hg19_si <- Seqinfo(genome="hg19")
>> > >
>> > >   ## (a):
>> > >   seqinfo(gr1) <- merge(seqinfo(gr1), hg19_si)[seqlevels(gr1)]
>> > >   seqinfo(gr1)
>> > >   # Seqinfo object with 4 sequences (1 circular) from hg19 genome:
>> > >   #   seqnames       seqlengths isCircular genome
>> > >   #   chrX            155270560      FALSE   hg19
>> > >   #   chrUn_gl000249      38502      FALSE   hg19
>> > >   #   chr2            243199373      FALSE   hg19
>> > >   #   chr6_cox_hap2     4795371      FALSE   hg19
>> > >
>> > >   ## (b):
>> > >   seqlevels(gr1) <- intersect(seqlevels(hg19_si), seqlevels(gr1))
>> > >   seqinfo(gr1)
>> > >   # Seqinfo object with 4 sequences (1 circular) from hg19 genome:
>> > >   #   seqnames       seqlengths isCircular genome
>> > >   #   chr2            243199373      FALSE   hg19
>> > >   #   chrX            155270560      FALSE   hg19
>> > >   #   chr6_cox_hap2     4795371      FALSE   hg19
>> > >   #   chrUn_gl000249      38502      FALSE   hg19
>> > >
>> > > (c) is harder because seqlevelsStyle() doesn't know how to rename
>> > > scaffolds yet:
>> > >
>> > >   si2 <- Seqinfo(c("X", "HSCHRUN_RANDOM_CTG42", "2",
>> > "HSCHR6_MHC_COX_CTG1"))
>> > >   gr2 <- GRanges(seqinfo=si2)
>> > >
>> > >   seqlevelsStyle(gr2)
>> > >   # [1] "NCBI"
>> > >
>> > >   seqlevelsStyle(gr2) <- "UCSC"
>> > >   seqlevels(gr2)
>> > >   # [1] "chrX"                 "HSCHRUN_RANDOM_CTG42" "chr2"
>> > >   # [4] "HSCHR6_MHC_COX_CTG1"
>> > >
>> > > So we need to work on this.
>> > >
>> > > I'm not sure about using genome(gr) <- "hg19" for this. Right now
>> > > it sets the genome column of the seqinfo with the supplied string
>> > > and nothing else. Aren't there valid use cases for this?
>> >
>> > Not sure. People would almost always want the seqname style and order
>> > to be consistent with the given genome.
>> >
>> > > What about
>> > > using seqinfo(gr) <- "hg19" instead? It kind of suggests that the
>> > > whole seqinfo component actually gets filled.
>> > >
>> >
>> > Yea, but "genome" is so intuitive compared to "seqinfo".
>> >
>> >
>> >
>> > > H.
>> > >
>> > > On 06/04/2015 06:30 PM, Tim Triche, Jr. wrote:
>> > >>
>> > >> that's kind of always been my goal...
>> > >>
>> > >>
>> > >> Statistics is the grammar of science.
>> > >> Karl Pearson <http://en.wikipedia.org/wiki/The_Grammar_of_Science>
>> > >>
>> > >> On Thu, Jun 4, 2015 at 6:29 PM, Michael Lawrence
>> > >> <lawrence.michael at gene.com <mailto:lawrence.michael at gene.com>>
>> wrote:
>> > >>
>> > >>     Maybe this could eventually support setting the seqinfo with:
>> > >>
>> > >>     genome(gr) <- "hg19"
>> > >>
>> > >>     Or is that being too clever?
>> > >>
>> > >>     On Thu, Jun 4, 2015 at 4:28 PM, Hervé Pagès <
>> hpages at fredhutch.org
>> > >>     <mailto:hpages at fredhutch.org>> wrote:
>> > >>      > Hi,
>> > >>      >
>> > >>      > FWIW I started to work on supporting quick generation of a
>> > >> standalone
>> > >>      > Seqinfo object via Seqinfo(genome="hg38") in GenomeInfoDb.
>> > >>      >
>> > >>      > It already supports hg38, hg19, hg18, panTro4, panTro3,
>> panTro2,
>> > >>      > bosTau8, bosTau7, bosTau6, canFam3, canFam2, canFam1, musFur1,
>> > >> mm10,
>> > >>      > mm9, mm8, susScr3, susScr2, rn6, rheMac3, rheMac2, galGal4,
>> > >> galGal3,
>> > >>      > gasAcu1, danRer7, apiMel2, dm6, dm3, ce10, ce6, ce4, ce2,
>> > sacCer3,
>> > >>      > and sacCer2. I'll add more.
>> > >>      >
>> > >>      > See ?Seqinfo for some examples.
>> > >>      >
>> > >>      > Right now it fetches the information from internet every time
>> you
>> > >>      > call it but maybe we should just store that information in the
>> > >>      > GenomeInfoDb package as Tim suggested?
>> > >>      >
>> > >>      > H.
>> > >>      >
>> > >>      >
>> > >>      > On 06/03/2015 12:54 PM, Tim Triche, Jr. wrote:
>> > >>      >>
>> > >>      >> That would be perfect actually.  And it would radically
>> reduce &
>> > >>      >> modularize maintenance.  Maybe that's the best way to go
>> after
>> > >>     all.  Quite
>> > >>      >> sensible.
>> > >>      >>
>> > >>      >> --t
>> > >>      >>
>> > >>      >>> On Jun 3, 2015, at 12:46 PM, Vincent Carey
>> > >>     <stvjc at channing.harvard.edu <mailto:stvjc at channing.harvard.edu>>
>> > >>      >>> wrote:
>> > >>      >>>
>> > >>      >>> It really isn't hard to have multiple OrganismDb packages in
>> > >>     place -- the
>> > >>      >>> process of making new ones is documented and was given as an
>> > >>     exercise in
>> > >>      >>> the EdX course.  I don't know if we want to
>> institutionalize it
>> > >> and
>> > >>      >>> distribute such -- I think we might, so that there would be
>> > >>     Hs19, Hs38,
>> > >>      >>> mm9, etc. packages.  They have very little content, they
>> just
>> > >>     coordinate
>> > >>      >>> interactions with packages that you'll already have.
>> > >>      >>>
>> > >>      >>> On Wed, Jun 3, 2015 at 3:26 PM, Tim Triche, Jr.
>> > >>     <tim.triche at gmail.com <mailto:tim.triche at gmail.com>>
>> > >>
>> > >>      >>> wrote:
>> > >>      >>>
>> > >>      >>>> Right, I typically do that too, and if you're working on
>> human
>> > >>     data it
>> > >>      >>>> isn't a big deal.  What makes things a lot more of a drag
>> is
>> > >>     when you
>> > >>      >>>> work
>> > >>      >>>> on e.g. mouse data (mm9 vs mm10, aka GRCm37 vs GRCm38)
>> where
>> > >>      >>>> Mus.musculus
>> > >>      >>>> is essentially a "build ahead" of Homo.sapiens.
>> > >>      >>>>
>> > >>      >>>> R> seqinfo(Homo.sapiens)
>> > >>      >>>> Seqinfo object with 93 sequences (1 circular) from hg19
>> genome
>> > >>      >>>>
>> > >>      >>>> R> seqinfo(Mus.musculus)
>> > >>      >>>> Seqinfo object with 66 sequences (1 circular) from mm10
>> > genome:
>> > >>      >>>>
>> > >>      >>>> It's not as explicit as directly assigning the seqinfo
>> from a
>> > >>     genome
>> > >>      >>>> that
>> > >>      >>>> corresponds to that of your annotations/results/whatever.
>> I
>> > >>     know we
>> > >>      >>>> could
>> > >>      >>>> all use crossmap or liftOver or whatever, but that's not
>> > >>     really the
>> > >>      >>>> same,
>> > >>      >>>> and it takes time, whereas assigning the proper seqinfo for
>> > >>      >>>> relationships
>> > >>      >>>> is very fast.
>> > >>      >>>>
>> > >>      >>>> That's all I was getting at...
>> > >>      >>>>
>> > >>      >>>>
>> > >>      >>>> Statistics is the grammar of science.
>> > >>      >>>> Karl Pearson
>> > >> <http://en.wikipedia.org/wiki/The_Grammar_of_Science>
>> > >>      >>>>
>> > >>      >>>> On Wed, Jun 3, 2015 at 12:17 PM, Vincent Carey
>> > >>      >>>> <stvjc at channing.harvard.edu <mailto:
>> > stvjc at channing.harvard.edu>
>> > >>      >>>>>
>> > >>      >>>>> wrote:
>> > >>      >>>>
>> > >>      >>>>
>> > >>      >>>>> I typically get this info from Homo.sapiens.  The result
>> is
>> > >>     parasitic
>> > >>      >>>>> on
>> > >>      >>>>> the TxDb that is in there.  I don't know how easy it is to
>> > swap
>> > >>      >>>>> alternate
>> > >>      >>>>> TxDb in to get a different build.  I think it would make
>> > sense
>> > >> to
>> > >>      >>>>> regard
>> > >>      >>>>> the OrganismDb instances as foundational for this sort of
>> > >>     structural
>> > >>      >>>>> data.
>> > >>      >>>>>
>> > >>      >>>>> On Wed, Jun 3, 2015 at 3:12 PM, Kasper Daniel Hansen <
>> > >>      >>>>> kasperdanielhansen at gmail.com
>> > >>     <mailto:kasperdanielhansen at gmail.com>> wrote:
>> > >>      >>>>>
>> > >>      >>>>>> Let me rephrase this slightly.  From one POV the purpose
>> of
>> > >>      >>>>>> GenomeInfoDb
>> > >>      >>>>>> is
>> > >>      >>>>>> clean up the seqinfo slot.  Currently it does most of the
>> > >>     cleaning,
>> > >>      >>>>>> but
>> > >>      >>>>>> it
>> > >>      >>>>>> does not add seqlengths.
>> > >>      >>>>>>
>> > >>      >>>>>> It is clear that seqlengths depends on the version of the
>> > >>     genome, but
>> > >>      >>>>>> I
>> > >>      >>>>>> will argue so does the seqnames.  Of course, for human,
>> > >>     chr22 will not
>> > >>      >>>>>> change.  But what about the names of all the random
>> > >>     contigs?  Or for
>> > >>      >>>>>> other
>> > >>      >>>>>> organisms, what about going from a draft genome with 10k
>> > >>     contigs to a
>> > >>      >>>>>> more
>> > >>      >>>>>> completely genome assembled into fewer, larger
>> chromosomes.
>> > >>      >>>>>>
>> > >>      >>>>>> I acknowledge that this information is present in the
>> > BSgenome
>> > >>      >>>>>> packages,
>> > >>      >>>>>> but it seems (to me) to be very appropriate to have them
>> > >>     around for
>> > >>      >>>>>> cleaning up the seqinfo slot.  For some situations it is
>> not
>> > >>     great to
>> > >>      >>>>>> depend on 1 GB> download for something that is a few
>> bytes.
>> > >>      >>>>>>
>> > >>      >>>>>> Best,
>> > >>      >>>>>> Kasper
>> > >>      >>>>>>
>> > >>      >>>>>> On Wed, Jun 3, 2015 at 3:00 PM, Tim Triche, Jr.
>> > >>     <tim.triche at gmail.com <mailto:tim.triche at gmail.com>>
>> > >>
>> > >>      >>>>>> wrote:
>> > >>      >>>>>>
>> > >>      >>>>>>> It would be nice (for a number of reasons) to have
>> > >>     chromosome lengths
>> > >>      >>>>>>> readily available in a foundational package like
>> > >>     GenomeInfoDb, so
>> > >>      >>>>>>> that,
>> > >>      >>>>>>> say,
>> > >>      >>>>>>>
>> > >>      >>>>>>> data(seqinfo.hg19)
>> > >>      >>>>>>> seqinfo(myResults) <- seqinfo.hg19[
>> seqlevels(myResults) ]
>> > >>      >>>>>>>
>> > >>      >>>>>>> would work without issues.  Is there any particular
>> reason
>> > >> this
>> > >>      >>>>>>
>> > >>      >>>>>> couldn't
>> > >>      >>>>>>>
>> > >>      >>>>>>> happen for the supported/available BSgenomes?  It would
>> > >>     seem like a
>> > >>      >>>>>>
>> > >>      >>>>>> simple
>> > >>      >>>>>>>
>> > >>      >>>>>>> matter to do
>> > >>      >>>>>>>
>> > >>      >>>>>>> R> library(BSgenome.Hsapiens.UCSC.hg19)
>> > >>      >>>>>>> R> seqinfo.hg19 <- seqinfo(Hsapiens)
>> > >>      >>>>>>> R> save(seqinfo.hg19,
>> > >>      >>>>>>> file="~/bioc-devel/GenomeInfoDb/data/seqinfo.hg19.rda")
>> > >>      >>>>>>>
>> > >>      >>>>>>> and be done with it until (say) the next release or next
>> > >>     released
>> > >>      >>>>>>> BSgenome.  I considered looping through the following
>> > >> BSgenomes
>> > >>      >>>>>>
>> > >>      >>>>>> myself...
>> > >>      >>>>>>>
>> > >>      >>>>>>> and if it isn't strongly opposed by (everyone) I may
>> still
>> > >>     do exactly
>> > >>      >>>>>>> that.  Seems useful, no?
>> > >>      >>>>>>>
>> > >>      >>>>>>> e.g. for the following 42 builds,
>> > >>      >>>>>>>
>> > >>      >>>>>>> grep("(UCSC|NCBI)", unique(gsub(".masked", "",
>> > >>     available.genomes())),
>> > >>      >>>>>>> value=TRUE)
>> > >>      >>>>>>> [1] "BSgenome.Amellifera.UCSC.apiMel2"
>> > >>      >>>>>>
>> > >>      >>>>>> "BSgenome.Btaurus.UCSC.bosTau3"
>> > >>      >>>>>>>
>> > >>      >>>>>>>
>> > >>      >>>>>>> [3] "BSgenome.Btaurus.UCSC.bosTau4"
>> > >>      >>>>>>
>> > >>      >>>>>> "BSgenome.Btaurus.UCSC.bosTau6"
>> > >>      >>>>>>>
>> > >>      >>>>>>>
>> > >>      >>>>>>> [5] "BSgenome.Btaurus.UCSC.bosTau8"
>> > >>      >>>>>>> "BSgenome.Celegans.UCSC.ce10"
>> > >>      >>>>>>>
>> > >>      >>>>>>> [7] "BSgenome.Celegans.UCSC.ce2"
>> > >>       "BSgenome.Celegans.UCSC.ce6"
>> > >>      >>>>>>>
>> > >>      >>>>>>> [9] "BSgenome.Cfamiliaris.UCSC.canFam2"
>> > >>      >>>>>>> "BSgenome.Cfamiliaris.UCSC.canFam3"
>> > >>      >>>>>>> [11] "BSgenome.Dmelanogaster.UCSC.dm2"
>> > >>      >>>>>>> "BSgenome.Dmelanogaster.UCSC.dm3"
>> > >>      >>>>>>> [13] "BSgenome.Dmelanogaster.UCSC.dm6"
>> > >>      >>>>>>
>> > >>      >>>>>> "BSgenome.Drerio.UCSC.danRer5"
>> > >>      >>>>>>>
>> > >>      >>>>>>>
>> > >>      >>>>>>> [15] "BSgenome.Drerio.UCSC.danRer6"
>> > >>      >>>>>>
>> > >>      >>>>>> "BSgenome.Drerio.UCSC.danRer7"
>> > >>      >>>>>>>
>> > >>      >>>>>>>
>> > >>      >>>>>>> [17] "BSgenome.Ecoli.NCBI.20080805"
>> > >>      >>>>>>> "BSgenome.Gaculeatus.UCSC.gasAcu1"
>> > >>      >>>>>>> [19] "BSgenome.Ggallus.UCSC.galGal3"
>> > >>      >>>>>>
>> > >>      >>>>>> "BSgenome.Ggallus.UCSC.galGal4"
>> > >>      >>>>>>>
>> > >>      >>>>>>>
>> > >>      >>>>>>> [21] "BSgenome.Hsapiens.NCBI.GRCh38"
>> > >>      >>>>>>> "BSgenome.Hsapiens.UCSC.hg17"
>> > >>      >>>>>>>
>> > >>      >>>>>>> [23] "BSgenome.Hsapiens.UCSC.hg18"
>> > >>      >>>>>>> "BSgenome.Hsapiens.UCSC.hg19"
>> > >>      >>>>>>>
>> > >>      >>>>>>> [25] "BSgenome.Hsapiens.UCSC.hg38"
>> > >>      >>>>>>> "BSgenome.Mfascicularis.NCBI.5.0"
>> > >>      >>>>>>> [27] "BSgenome.Mfuro.UCSC.musFur1"
>> > >>      >>>>>>
>> > >>      >>>>>> "BSgenome.Mmulatta.UCSC.rheMac2"
>> > >>      >>>>>>>
>> > >>      >>>>>>>
>> > >>      >>>>>>> [29] "BSgenome.Mmulatta.UCSC.rheMac3"
>> > >>      >>>>>>
>> > >>      >>>>>> "BSgenome.Mmusculus.UCSC.mm10"
>> > >>      >>>>>>>
>> > >>      >>>>>>>
>> > >>      >>>>>>> [31] "BSgenome.Mmusculus.UCSC.mm8"
>> > >>      >>>>>>> "BSgenome.Mmusculus.UCSC.mm9"
>> > >>      >>>>>>>
>> > >>      >>>>>>> [33] "BSgenome.Ptroglodytes.UCSC.panTro2"
>> > >>      >>>>>>> "BSgenome.Ptroglodytes.UCSC.panTro3"
>> > >>      >>>>>>> [35] "BSgenome.Rnorvegicus.UCSC.rn4"
>> > >>      >>>>>>
>> > >>      >>>>>> "BSgenome.Rnorvegicus.UCSC.rn5"
>> > >>      >>>>>>>
>> > >>      >>>>>>>
>> > >>      >>>>>>> [37] "BSgenome.Rnorvegicus.UCSC.rn6"
>> > >>      >>>>>>> "BSgenome.Scerevisiae.UCSC.sacCer1"
>> > >>      >>>>>>> [39] "BSgenome.Scerevisiae.UCSC.sacCer2"
>> > >>      >>>>>>> "BSgenome.Scerevisiae.UCSC.sacCer3"
>> > >>      >>>>>>> [41] "BSgenome.Sscrofa.UCSC.susScr3"
>> > >>      >>>>>>
>> > >>      >>>>>> "BSgenome.Tguttata.UCSC.taeGut1"
>> > >>      >>>>>>>
>> > >>      >>>>>>>
>> > >>      >>>>>>>
>> > >>      >>>>>>>
>> > >>      >>>>>>>
>> > >>      >>>>>>> Am I insane for suggesting this?  It would make things a
>> > >> little
>> > >>      >>>>>>> easier
>> > >>      >>>>>>
>> > >>      >>>>>> for
>> > >>      >>>>>>>
>> > >>      >>>>>>> rtracklayer, most SummarizedExperiment and SE-derived
>> > >>     objects, blah,
>> > >>      >>>>>>
>> > >>      >>>>>> blah,
>> > >>      >>>>>>>
>> > >>      >>>>>>> blah...
>> > >>      >>>>>>>
>> > >>      >>>>>>>
>> > >>      >>>>>>> Best,
>> > >>      >>>>>>>
>> > >>      >>>>>>> --t
>> > >>      >>>>>>>
>> > >>      >>>>>>>
>> > >>      >>>>>>>
>> > >>      >>>>>>>
>> > >>      >>>>>>> Statistics is the grammar of science.
>> > >>      >>>>>>> Karl Pearson
>> > >>     <http://en.wikipedia.org/wiki/The_Grammar_of_Science>
>> > >>      >>>>>>
>> > >>      >>>>>>
>> > >>      >>>>>>         [[alternative HTML version deleted]]
>> > >>      >>>>>>
>> > >>      >>>>>> _______________________________________________
>> > >>      >>>>>> Bioc-devel at r-project.org <mailto:
>> Bioc-devel at r-project.org>
>> > >>     mailing list
>> > >>      >>>>>> https://stat.ethz.ch/mailman/listinfo/bioc-devel
>> > >>      >>>
>> > >>      >>>
>> > >>      >>>     [[alternative HTML version deleted]]
>> > >>      >>>
>> > >>      >>> _______________________________________________
>> > >>      >>> Bioc-devel at r-project.org <mailto:Bioc-devel at r-project.org>
>> > >>     mailing list
>> > >>      >>> https://stat.ethz.ch/mailman/listinfo/bioc-devel
>> > >>      >>
>> > >>      >>
>> > >>      >> _______________________________________________
>> > >>      >> Bioc-devel at r-project.org <mailto:Bioc-devel at r-project.org>
>> > >>     mailing list
>> > >>      >> https://stat.ethz.ch/mailman/listinfo/bioc-devel
>> > >>      >>
>> > >>      >
>> > >>      > --
>> > >>      > 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: hpages at fredhutch.org <mailto:hpages at fredhutch.org>
>> > >>      > Phone: (206) 667-5791 <tel:%28206%29%20667-5791>
>> > >>      > Fax: (206) 667-1319 <tel:%28206%29%20667-1319>
>> > >>      >
>> > >>      >
>> > >>      > _______________________________________________
>> > >>      > Bioc-devel at r-project.org <mailto:Bioc-devel at r-project.org>
>> > >>     mailing list
>> > >>      > https://stat.ethz.ch/mailman/listinfo/bioc-devel
>> > >>
>> > >>
>> > >
>> > > --
>> > > 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: hpages at fredhutch.org
>> > > Phone:  (206) 667-5791
>> > > Fax:    (206) 667-1319
>> >
>> > _______________________________________________
>> > Bioc-devel at r-project.org mailing list
>> > https://stat.ethz.ch/mailman/listinfo/bioc-devel
>> >
>>
>>
>>
>> --
>> Gabriel Becker, Ph.D
>> Computational Biologist
>> Genentech Research
>>
>>         [[alternative HTML version deleted]]
>>
>> _______________________________________________
>> Bioc-devel at r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/bioc-devel
>>
>
>


-- 
Gabriel Becker, Ph.D
Computational Biologist
Genentech Research

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