This is a convenience function, which provably has saved tons of time for
me and others.  I get lots of data from various excel/cvs files lying
around various places, and these files _always_ have a clear path to a
GRanges.  Perhaps you never have to deal with this kind of data, but we are
a few experienced users who find it extremely handy and would like it to be
in a more centralized place.





On Sun, Oct 6, 2013 at 4:26 PM, Michael Lawrence
<lawrence.mich...@gene.com>wrote:

> I'm still unconvinced that there is an obvious, general path from
> data.frame -> GRanges. It's usually easy enough to just call GRanges(),
> often of the pattern with(df, GRanges(...)). Moreover, it's unusual for me
> to encounter genomic data in data.frames.
>
>
>
>
> On Sun, Oct 6, 2013 at 8:37 AM, Kasper Daniel Hansen <
> kasperdanielhan...@gmail.com> wrote:
>
>> Also, it goes without saying that I am happy to provide a patch for
>> GenomicRanges, and check that it passes R CMD check, to minimize the work
>> of the maintainer.
>>
>> Kasper
>>
>>
>> On Sun, Oct 6, 2013 at 9:28 AM, Kasper Daniel Hansen <
>> kasperdanielhan...@gmail.com> wrote:
>>
>> > bsseq::data.frame2GRanges does the obvious step of converting a
>> data.frame
>> > to GRanges.  It has a couple of bells and whistles where strand can be
>> > ignored and additional columns (apart from genomic location) may be
>> ignore
>> > in the output object.
>> >
>> > I (and now quite a few other people) use this function almost every day.
>> >  I have seen other implementations in other packages, suggesting this is
>> > not just something I (we) use.
>> >
>> > I suggests adding this function to GenomicRanges.  I am happy to support
>> > it going forward.
>> >
>> > Using this function we could also add an as(x, "GRanges") method for
>> > x=data.frame, but I still suggest keeping the basic function for the
>> > extended functionality it provides.
>> >
>> > Best,
>> > Kasper
>> >
>>
>>         [[alternative HTML version deleted]]
>>
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>>
>
>

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