[Bioc-devel] [BioC] Course: Learning R / Bioconductor for Sequence Analysis, Seattle, WA Oct 27-29
mtmorgan at fhcrc.org
Mon Sep 15 19:02:03 CEST 2014
On 09/15/2014 09:34 AM, Dale N. Richardson wrote:
> Seconded! An online version of the course would be indispensable.
It's a lot (as in months) of work to produce a true online course, and the
material becomes dated very quickly!
The static material from courses is at
The 'community' page http://bioconductor.org/help/course-materials/ includes
links to some videos and on-line material, including the EdX MOOC: PH525x Data
Analysis for Genomics and some initial videos produced here
We haven't looked at the infrastructure or cost (including opportunity cost)
required to live stream three days worth of material (probably including 2 days
worth of 'um' and 'oops'); maybe there's a sponsor out there willing to provide
us with technical and financial support for this?
The obstacles to making video available for the lecture part of our courses 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 current course).
While obviously not scalable, there are many training events offered each year
Hope that helps,
> Dale Richardson, Ph.D.
> Laboratory of Plant Molecular Biology
> Instituto Gulbenkian de Ciência
> Rua da Quinta Grande, 6
> 2780-156 Oeiras
> http://www.igc.gulbenkian.pt <http://www.igc.gulbenkian.pt/>
> Tel: +351 967 992 816
> Email: drichardson at igc.gulbenkian.pt <mailto:drichardson at igc.gulbenkian.pt>
> On 15/09/2014, at 17:27, Son Pham <spham at salk.edu <mailto:spham at salk.edu>> wrote:
>> Thanks Martin for offering the course. It's fantastics -- and if it would
>> be an online course, like coursera, it will also be great for a lot of
>> distant people.
>> Son Pham, Ph.D
>> cseweb.ucsd.edu/~kspham/ <http://cseweb.ucsd.edu/~kspham/>
>> On Mon, Sep 15, 2014 at 7:13 AM, Martin Morgan <mtmorgan at fhcrc.org> wrote:
>>> Course: Learning R / Bioconductor for Sequence Analysis
>>> Dates: October 27-29, Seattle, WA.
>>> Registration: https://register.bioconductor.org/Seattle-Oct-2014/
>>> 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 essential
>>> background: an introduction to the R programming language; central concepts
>>> 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 work
>>> flow; exploratory, machine learning, and other statistical tasks; gene set
>>> enrichment; and annotation. Day 3 transitions to understanding effective
>>> approaches for managing larger challenges: strategies for working with
>>> large data, writing re-usable functions, developing reproducible reports
>>> 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
>>> Computational Biology / Fred Hutchinson Cancer Research Center
>>> 1100 Fairview Ave. N.
>>> PO Box 19024 Seattle, WA 98109
>>> Location: Arnold Building M1 B861
>>> Phone: (206) 667-2793
>>> Bioconductor mailing list
>>> Bioconductor at r-project.org
>>> Search the archives: http://news.gmane.org/gmane.
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Computational Biology / Fred Hutchinson Cancer Research Center
1100 Fairview Ave. N.
PO Box 19024 Seattle, WA 98109
Location: Arnold Building M1 B861
Phone: (206) 667-2793
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