S/R言語、S-PLUSコミュのＲとＰＥＲＬのセミナー案内

どういうルートで送られてきたのか不明ですが、メールで案内が来たので転載します。

The non-profit Bioinformatics Organization is pleased to announce a
new course on gene expression analysis and the scheduling of more
introductory and intermediate "For Biologists" courses for this
February:

1. GENE EXPRESSION ANALYSIS
2. PERL FOR BIOLOGISTS, LEVEL 1
3. R FOR BIOLOGISTS, LEVEL 1
4. PERL FOR BIOLOGISTS, LEVEL 2
5. R FOR BIOLOGISTS, LEVEL 2

See below for details.

The "For Biologists" courses are designed to help researchers learn
how to use computer scripts to automate certain tasks in their
research. Armed with some knowledge and hands-on experience with these
tools, scientists will be able to perform basic software development
tasks and phrase research questions in the context of the tools. As a
result, they will be able to appreciate and use computers better in
their organization and communicate better with their IT group.

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1. GENE EXPRESSION ANALYSIS
Analyzing Affymetrix Gene Expression Data
February 26-March 2, 2007

DESCRIPTION:
This course helps to demystify Affymetrix analysis so that any
researcher can take the basic steps needed to go from a chip image to
a list of genes that are up- or down-regulated in an experiment. It is
geared towards researchers who conduct microarray experiments to study
genome-wide expression changes and understand the underlying
mechanisms of gene regulation in samples of interest. Various tools
will be covered, e.g. GCOS, Excel, R, Matlab, and free tools like
Dchip.

SCHEDULE:
Each lecture will start at 16:30 UTC and last 2 to 3 hours with a
break half-way through it, depending on the topics covered.

FOR MORE INFORMATION:
To find out more information on the course, including the registration
process, please see the course schedule page:
http://edu.bioinformatics.org/AK

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2. PERL FOR BIOLOGISTS, LEVEL 1
February 12-16, 2007

DESCRIPTION:
This course is designed to help researchers learn how to use the
scripting language Perl to automate certain tasks in their research.
The topics taught involve laboratory scenarios and datasets, and
include installing and running simple Perl programs; variables
(scalars, arrays); printing; variable interpolation; string
operations; mathematical, conditional and logical operators; file
input/output; loops (if-then-else, for, while); list operations;
regular expressions; and functions. Students will be assigned a
project at the end of the week.

SCHEDULE:
Each lecture will start at 16:30 UTC and last 45 to 90 minutes,
depending on the topics covered.

FOR MORE INFORMATION:
http://edu.bioinformatics.org/AI

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3. R FOR BIOLOGISTS, LEVEL 1
February 12-16, 2007

DESCRIPTION:
This course is designed to help researchers learn how to use the
statistical scripting language R for data analysis. The topics taught
involve laboratory scenarios and datasets, and include installing and
running R; understanding the R interactive environment; creating,
storing and manipulating R data objects; reading data from files;
applying built-in functions on data; for-loops, if-then-else
statements; scripts; functions; and packages. Students will be
assigned a project at the end of the week.

SCHEDULE:
Each lecture will start at 18:00 UTC and last 45 to 90 minutes,
depending on the topics covered.

FOR MORE INFORMATION:
To find out more information on the course, including the registration
process, please see the course schedule page:
http://edu.bioinformatics.org/AJ

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4. PERL FOR BIOLOGISTS, LEVEL 2
February 19-23, 2007

DESCRIPTION:
This course is designed to help researchers understand the scripting
language Perl. It is a continuation of Perl for Biologists, Level 1
and covers advanced topics such as scripting with BioPerl, the Perl
DBI and DBD for connecting to databases, high-throughput BLAST
analysis, and writing multi-function scripts and converting them into
Perl modules and packages.

SCHEDULE:
Each lecture will start at 16:30 UTC and last 45 to 90 minutes,
depending on the topics covered.

FOR MORE INFORMATION:
To find out more information on the course, including the registration
process, please see the course schedule page:
http://edu.bioinformatics.org/AG

----------------------------------------

5. R FOR BIOLOGISTS, LEVEL 2
February 19-23, 2007

DESCRIPTION:
This course is designed to help researchers understand the data
analysis/visualization language R. It is a continuation of R for
Biologists, Level 1 and covers advanced topics such as working with
Affymetrix CEL files and data analysis with the Bioconductor packages.

SCHEDULE:
Each lecture will start at 18:00 UTC and last 45 to 90 minutes,
depending on the topics covered.

FOR MORE INFORMATION:
To find out more information on the course, including the registration
process, please see the course schedule page:
http://edu.bioinformatics.org/AH