Hi all,
Briefly:
I'm looking to get guidance on how to handle data packages that
support a suite of software packages I'd like to submit to
bioconductor.
More Detail:
We (Genentech) have opened sourced some packages I've been developing
internally for the past few years that facilitate the exec
My apologizes. The single package builder machine needed updates which negated
the build. I will kick off a new build and you should have a report shortly.
Lori Shepherd
Bioconductor Core Team
Roswell Park Cancer Institute
Department of Biostatistics & Bioinformatics
Elm & Carlton Streets
Hi,
I did a version bump and got an email saying starting a build
https://github.com/Bioconductor/Contributions/issues/541
However, a day later no result...
Have I done something stupid?
Sorry if this is a noobie question.
Thanks,
Paul
[[alternative HTML versio
Hello all,
The ensembl 91 gtf (converted to GRanges on the fly) and fasta (twobit files)
been added to AnnotationHub and are currently available in Bioc 3.6 (release)
and Bioc3.7 (development)
Bioconductor version 3.6 (BiocInstaller 1.28.0), ?biocLite for help
> library(AnnotationHub)
> hub = An
That seems to solve my problem, I will try this way, thak you very much.
Francesco
On Thu, Dec 21, 2017 at 1:16 PM, Martin Morgan
wrote:
> On 12/21/2017 06:22 AM, Francesco Napolitano wrote:
>>
>> Hi,
>>
>> I need to deal with very large matrices and I was thinking of using
>> HDF5-based data mod
Thank you very much, Paul, I'll have a look at your code.
Francesco
On Thu, Dec 21, 2017 at 1:01 PM, Paul Theodor Pyl
wrote:
> Hi Francesco,
>
> this is certainly achievable with currently available HDF5 support in
> R/Bioconductor. For example the rhdf5 package gives you access to this
> functi
On 12/21/2017 06:22 AM, Francesco Napolitano wrote:
Hi,
I need to deal with very large matrices and I was thinking of using
HDF5-based data models. However, from the documentation and examples
that I have been looking at, I'm not quite sure how to do this.
My use case is as follows.
I want to b
Hi Francesco,
this is certainly achievable with currently available HDF5 support in
R/Bioconductor. For example the rhdf5 package gives you access to this
functionality (https://bioconductor.org/packages/release/bioc/html/rhdf5.html
(https://bioconductor.org/packages/release/bioc/html/rhdf5.htm
Hi,
I need to deal with very large matrices and I was thinking of using
HDF5-based data models. However, from the documentation and examples
that I have been looking at, I'm not quite sure how to do this.
My use case is as follows.
I want to build a very large matrix one column at a time, and I n
