[R] Use case for HDF5 dataspace interface

Bert Gunter bgunter.4567 at gmail.com
Tue Aug 1 16:30:27 CEST 2017


1. What does this have to do with R?

2. If it concerns computational biology, the Bioconductor Help list
may be a better place to post.


Cheers,
Bert


Bert Gunter

"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )


On Tue, Aug 1, 2017 at 2:28 AM, Koustav Pal <koustavpal.devel at gmail.com> wrote:
> This question is a clone of my stackoverflow question which never got
> answered (o_O). Therefore I am posting it here. I would really like some
> inputs if possible.
>
> I am currently building some applications which make use of HDF5 files.
>
> I have already taken a look at the hdfgroup website with regards to
> dataspace <https://support.hdfgroup.org/HDF5/doc/H5.user/Dataspaces.html>
> and I think I understand the concept. But I am very much unable to
> understand it's real world use.
>
> Can someone please, tell me what is the dataspace interface supposed to be
> used for?
>
> Currently, I think if I load a matrix of size 1.5M x 1.5M I may be able to
> store dataspace coordinates and then retrieve that piece of data much
> faster. Is this correct?
>
> It would be great if you can provide some example use cases.
>
>
> Link to original question:
> https://stackoverflow.com/questions/44697599/hdf5-dataspace-interface-what-does-it-do-and-what-is-its-real-world-applicati
>
> -----------------------------------------------------------------------------------
> Koustav Pal,
> PhD student in Computational Biology,
> Francesco Ferrari's group,
> IFOM - The FIRC Institute of Molecular Oncology
> Milan, Italy.
>
>         [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.



More information about the R-help mailing list