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

Son Pham spham at salk.edu
Mon Sep 15 18:27:01 CEST 2014

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

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
> browser.
> --
> 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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> science.biology.informatics.conductor

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