Re: Course: Learning R / Bioconductor for Sequence Analysis, Seattle, WA Oct 27-29

"Dale N. Richardson" <drichardson-Fe/[email protected]> Mon, 15 Sep 2014 21:53:43 +0100
Newsgroups gmane.science.biology.informatics.conductor,gmane.science.biology.informatics.conductor.devel
Message-ID <[email protected]>
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Hi Martin,

Thanks a lot for the those links =97 I wasn=92t aware of the static materia=
l from the courses. That=92s a really wonderful resource that I=92ll defini=
tely take advantage of!

Best of luck on the continued outreach efforts. I can definitely say for my=
self and probably many others: we=92re grateful!=20

Best,
Dale



...........................................................................=
...........................
Dale Richardson, Ph.D.

Laboratory of Plant Molecular Biology
Instituto Gulbenkian de Ci=EAncia
Rua da Quinta Grande, 6
2780-156 Oeiras
Portugal
http://www.igc.gulbenkian.pt

Tel: +351 967 992 816
Email: drichardson-Fe/[email protected]




On 15/09/2014, at 18:02, Martin Morgan <[email protected]> wrote:

> On 09/15/2014 09:34 AM, Dale N. Richardson wrote:
>> Seconded! An online version of the course would be indispensable.
>=20
> It's a lot (as in months) of work to produce a true online course, and th=
e material becomes dated very quickly!
>=20
> The static material from courses is at http://bioconductor.org/help/cours=
e-materials/
>=20
> The 'community' page http://bioconductor.org/help/course-materials/ inclu=
des links to some videos and on-line material, including the EdX MOOC: PH52=
5x Data Analysis for Genomics and some initial videos produced here https:/=
/www.youtube.com/results?search_query=3Dbioconductor.
>=20
> We haven't looked at the infrastructure or cost (including opportunity co=
st) required to live stream three days worth of material (probably includin=
g 2 days worth of 'um' and 'oops'); maybe there's a sponsor out there willi=
ng to provide us with technical and financial support for this?
>=20
> The obstacles to making video available for the lecture part of our cours=
es is becoming smaller, so it is not impossible to imagine that these will =
become part of the Bioc video collection (no promises with respect to the c=
urrent course).
>=20
> While obviously not scalable, there are many training events offered each=
 year http://bioconductor.org/help/events/.
>=20
> Hope that helps,
>=20
> Martin
>=20
>=20
>>=20
>> ........................................................................=
..............................
>> Dale Richardson, Ph.D.
>>=20
>> Laboratory of Plant Molecular Biology
>> Instituto Gulbenkian de Ci=EAncia
>> Rua da Quinta Grande, 6
>> 2780-156 Oeiras
>> Portugal
>> http://www.igc.gulbenkian.pt <http://www.igc.gulbenkian.pt/>
>>=20
>> Tel: +351 967 992 816
>> Email: drichardson-Fe/[email protected] <mailto:drichardson-Fe/[email protected]=
pt>
>>=20
>>=20
>>=20
>>=20
>> On 15/09/2014, at 17:27, Son Pham <spham-xrR1t/[email protected] <mailto:spham-xrR1t/[email protected]=
>> wrote:
>>=20
>>> Thanks Martin for offering the course. It's fantastics -- and if it wou=
ld
>>> be an online course, like coursera, it will also be great for a lot of
>>> distant people.
>>>=20
>>> -Son.
>>>=20
>>>=20
>>>=20
>>>=20
>>>=20
>>> Son Pham, Ph.D
>>> cseweb.ucsd.edu/~kspham/ <http://cseweb.ucsd.edu/~kspham/>
>>>=20
>>> On Mon, Sep 15, 2014 at 7:13 AM, Martin Morgan <[email protected]> wro=
te:
>>>=20
>>>> Course: Learning R / Bioconductor for Sequence Analysis
>>>>=20
>>>> Dates: October 27-29, Seattle, WA.
>>>>=20
>>>> Registration: https://register.bioconductor.org/Seattle-Oct-2014/
>>>>=20
>>>> This course is directed at beginning and intermediate users who would =
like
>>>> an introduction to the analysis and comprehension of high-throughput
>>>> sequence data using R and Bioconductor. Day 1 focuses on learning esse=
ntial
>>>> background: an introduction to the R programming language; central con=
cepts
>>>> for effective use of Bioconductor software; and an overview of
>>>> high-throughput sequence analysis work flows. Day 2 emphasizes use of
>>>> Bioconductor for specific tasks: an RNA-seq differential expression wo=
rk
>>>> flow; exploratory, machine learning, and other statistical tasks; gene=
 set
>>>> enrichment; and annotation. Day 3 transitions to understanding effecti=
ve
>>>> approaches for managing larger challenges: strategies for working with
>>>> large data, writing re-usable functions, developing reproducible repor=
ts
>>>> and work flows, and visualizing results. The course combines lectures =
with
>>>> extensive hands-on practicals; students are required to bring a laptop=
 with
>>>> wireless internet access and a modern version of the Chrome or Safari =
web
>>>> browser.
>>>> --
>>>> Computational Biology / Fred Hutchinson Cancer Research Center
>>>> 1100 Fairview Ave. N.
>>>> PO Box 19024 Seattle, WA 98109
>>>>=20
>>>> Location: Arnold Building M1 B861
>>>> Phone: (206) 667-2793
>>>>=20
>>>> _______________________________________________
>>>> Bioconductor mailing list
>>>> [email protected]
>>>> https://stat.ethz.ch/mailman/listinfo/bioconductor
>>>> Search the archives: http://news.gmane.org/gmane.
>>>> science.biology.informatics.conductor
>>>>=20
>>>=20
>>> [[alternative HTML version deleted]]
>>>=20
>>> _______________________________________________
>>> Bioconductor mailing list
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>>> Search the archives:
>>> http://news.gmane.org/gmane.science.biology.informatics.conductor
>>=20
>=20
>=20
> --=20
> Computational Biology / Fred Hutchinson Cancer Research Center
> 1100 Fairview Ave. N.
> PO Box 19024 Seattle, WA 98109
>=20
> Location: Arnold Building M1 B861
> Phone: (206) 667-2793


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