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
http://bioconductor.org/help/course-materials/
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
https://www.youtube.com/results?search_query=bioconductor.
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
http://bioconductor.org/help/events/.
Hope that helps,
Martin
......................................................................................................
Dale Richardson, Ph.D.
Laboratory of Plant Molecular Biology
Instituto Gulbenkian de Ciência
Rua da Quinta Grande, 6
2780-156 Oeiras
Portugal
http://www.igc.gulbenkian.pt <http://www.igc.gulbenkian.pt/>
Tel: +351 967 992 816
Email: drichard...@igc.gulbenkian.pt <mailto:drichard...@igc.gulbenkian.pt>
On 15/09/2014, at 17:27, Son Pham <sp...@salk.edu <mailto:sp...@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.
Son Pham, Ph.D
cseweb.ucsd.edu/~kspham/ <http://cseweb.ucsd.edu/~kspham/>
On Mon, Sep 15, 2014 at 7:13 AM, Martin Morgan <mtmor...@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
browser.
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Location: Arnold Building M1 B861
Phone: (206) 667-2793
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