[Bioc-devel] coverage(gr, weight='score') does not work when score(gr) is an Rle
Sorry, I was confused. You're right, there's not much point in keeping it compressed.
On Fri, Apr 17, 2015 at 10:14 AM, Herv? Pag?s <hpages at fredhutch.org> wrote:
On 04/17/2015 10:00 AM, Michael Lawrence wrote:
Is that the case here? He has an Rle as an mcol in the GRanges, so in general expanding it will not align with the other components.
Not sure what you mean. Can you give an example? H.
On Fri, Apr 17, 2015 at 9:42 AM, Herv? Pag?s <hpages at fredhutch.org
<mailto:hpages at fredhutch.org>> wrote:
Hi,
I think we should just expand the Rle internally. That will produce
a numeric vector of the length of the GRanges i.e. it will be the
same size as the start and end components of the GRanges object
itself.
No big deal at all.
I'll make that change.
H.
On 04/17/2015 09:00 AM, Michael Lawrence wrote:
Ideally it should be supported, but it would take some work as
the coverage
stuff is all in C. Could you give more details on your use case?
For
example, if you already have a range for every position on the
chromosome,
you could just extract the score column. I'm guessing it's more
complicated
than that. If the zeros are the problem, you could just subset
the GRanges
to remove the ranges with zero score, and then coerce the score
to numeric
before calling coverage.
Michael
2015-04-17 8:00 GMT-07:00 Philip Lijnzaad
<p.lijnzaad at umcutrecht.nl <mailto:p.lijnzaad at umcutrecht.nl>>:
Dear all, I'm puzzled by the following behaviour:
Given
n <- 10
gr <- GRanges(seqnames=Rle('A', n),
ranges=IRanges(1:n, width=1),
score=Rle(5,n))
If I do
coverage(gr,weight='score')
I get
Error in .normarg_shift_or_weight(weight, "weight", x) :
'weight' must be a numeric vector, a single string,
or a list-like
object
Surely 'score' should be allowed to be an Rle? Especially
given the
fact that the return value of coverage(x,weight="score")
when score is
plain numeric vector is always an Rle ! Is this the expected
behaviour?
If so, I would argue that violates the principle of least
suprise :-)
The background to this is that I do numerical analysis on
derived
numerical data along my chromosomes. It contains many
contiguous zeroes so it would be wasteful to cast
everything down using as.numeric().
This is R version 3.01 on x86_64 Linux, Bioconductor version
2.13,
package.version("IRanges")
[1] "1.20.7"
package.version("GenomicRanges")
[1] "1.14.4"
Regards,
Philip
--
Philip Lijnzaad, PhD
Molecular Cancer Research
University Medical Center (UMC), Utrecht
Stratenum room 2.211
IM: plijnzaad at jabber.org <mailto:plijnzaad at jabber.org> ,
philip.lijnzaad at gmail.com <mailto:philip.lijnzaad at gmail.com>
P.O. Box 85060, 3508 AB Utrecht
(Universiteitsweg 100, 3584 CG Utrecht)
The Netherlands
tel: +31 (0)8875 68464 <tel:%2B31%20%280%298875%2068464>
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Herv? Pag?s
Program in Computational Biology
Division of Public Health Sciences
Fred Hutchinson Cancer Research Center
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-- Herv? Pag?s 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