Thanks Uwe. Will do.
On Tue, Jun 5, 2018 at 1:55 PM, Uwe Ligges
wrote:
> Please ask the Mac maintainer, Simon Urbanek, in such a case where it is
> not obvious what is going on.
>
> Best,
> Uwe Ligges
>
>
>
>
>
> On 05.06.2018 18:45, Steven Scott wrote:
>
>> If there's anyone willing to take
On 4 June 2018 at 20:06, Tomas Kalibera wrote:
| thanks for the report. Access to the test system is not necessary, the
| memory requirements of the byte-code compiler are usually
| platform-independent and specifically with this package I can reproduce
| they are very high. We'll have a look
After some thought, I decided r-devel was probably the best of the R lists
for this item. Do feel free to share, as the purpose is to improve documentation
and identify potential issues.
John Nash
The R Consortium has awarded some modest funding for "histoRicalg",
a project to document and
If there's anyone willing to take a look at the build errors I would
appreciate it. I'm trying to work a bug report from a downstream user, and
I think the OSX build has an issue that I don't understand.
Thanks.
On Thu, May 31, 2018 at 1:49 PM, Steven Scott
wrote:
> Looking at the Boom package
Hi Samsiddhi,
Yes, you can do that. Make sure to bump the version even in the RELEASE_3_7
branch if you decide to take that option.
Best,
Nitesh
P.S: I’m moving this thread to bioc-devel because it’s useful to the community.
> On Jun 5, 2018, at 11:59 AM, Samsiddhi Bhattacharjee wrote:
Excellent news! The RAM requirement was a legacy from the old builders and we
have since improved the capabilities so you should be alright with the package
as is. I will look at updating the documentation on the website and thank you
for bringing it to our attention.
We look forward to
Thanks for the report, fixed in R-devel (74848).
Best
Tomas
On 06/04/2018 02:41 PM, NELSON, Michael wrote:
On R 3.5.0 (Mac)
The issue appears when using the default (libcurl) method and specifying the
encoding
Note that using method='internal' causes a segfault if used in conjunction with
Hello Lori,
following up on this, we have now finished the
revision of the workflow and are ready to submit it to
Bioc:
https://github.com/Steffireise/maEndToEnd
However, using a call to gc() at end of the
workflow and rendering it via rmarkdown::render
gives a memory usage of ~ 4.5 GB,
