[GenABEL-dev] new topic for Journal Club

[Yurii Aulchenko]

Published at

http://forum.genabel.org/viewtopic.php?f=6&t=2#p784

and

http://www.genabel.org/news20110712

Will advertise more together with latest release of GenABEL in my
'private' mailing list

Yurii

On Mon, Jul 4, 2011 at 11:47 PM, Maria G <mgmaria at yandex.ru> wrote:
> Hi Yurii,
>
> I like your corrections! :) and totally agree with: " the JC does not really dependent on specific software ...  and will result in more open and productive statistical genomics"
>
> And moreover, I just love a new view of the GenABEL-site! That's great - short, clean and energetic :)
>
> My best wishes to GenABEL, in general, and a new freelance, personally!
>
> Masha
>
>
>
> 02.07.2011, 17:57, "Yurii Aulchenko" <yurii.aulchenko at gmail.com>:
>> Hi Masha,
>>
>> Sorry for delaying the answer by weeks -- the transition from
>> ErasmusMC to self-employment was taking more from me than I expected.
>> Now, back to business.
>>
>> Probably the most important point is that in my opinion the JC does
>> not need to be GenABEL-suite centric -- as we are going to talk about
>> general methodology there, it is not really dependent on specific
>> software. Hence my  suggestions below.
>>
>> best wishes,
>> Yurii
>>
>>>  News:
>>>  A new forum “Journal Club on Statistical Genomics”
>>
>> was started within the GenABEL project. This forum is
>>
>>>  supposed to bring together the curious questions and smart answers based on the on-line
>>
>> open access
>>
>>>  bibliography.
>>>
>>>  Read more:
>>
>> The
>>
>>>  “Journal Club on Statistical Genomics” is an interactive platform which is created to help
>>
>> people working in statistical genomics
>>
>>>  to share and spread their theoretical knowledge. Here one can discuss a bright paper or rise any
>>
>> methodological question.
>>
>>>  Important point is to give on-line links to the appropriate (re)sources. We hope that many-sided discussions in
>>
>> the
>>
>>>  Journal Club
>>
>> will facilitate knowledge dissemination and will result in more open
>> and productive statistical genomics.
>