Bioinformatics.org Perl and R courses, May 28-June 15

1. PERL FOR BIOLOGISTS, LEVEL 1 May 28-June 1, 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 15:30 UTC (11:30 AM US EDT) and last 45 to 90 minutes, depending on the topics covered.

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

2. R FOR BIOLOGISTS, LEVEL 1  May 28-June 1, 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 17:00 UTC (1:00 PM US EDT) 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/CT

3. PERL FOR BIOLOGISTS, LEVEL 2  June 11-15, 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 15:30 UTC (11:30 AM US EDT) 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/GA

4. R FOR BIOLOGISTS, LEVEL 2  June 11-15, 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 17:00 UTC (1:00 PM US EDT) 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/GC