[BiO BB] Course on NGS data analysis with open source software next week

[J.W. Bizzaro]

-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-

                          BI231 NGS Data Analysis
                            November 12-16, 2012
                        Online at Bioinformatics.Org

          http://www.bioinformatics.org/wiki/BI231_NGS_Data_Analysis
                   http://www.bioinformatics.org/edu/AGGG

-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-

OBJECTIVES:
This course teaches biologists how to analyze data from Next Generation Sequencing (NGS) platforms. Topics to be covered include the description of sequencing strategies and platforms, experiment types, data formats, and command line tools for various workflows, such as quantification of transcripts, alternative splice forms, copy number variants, single nucleotide polymorphisms, etc.

INSTRUCTOR:
Shailender Nagpal, M.Sc. is a data analysis consultant in the biotechnology and pharmaceutical industries and specializes in the interpretation of data generated from various platforms in drug discovery, such as genomics and proteomics.

CV: http://www.bioinformatics.org/wiki/Shailender_Nagpal

SYLLABUS:
The course is divided into 4 sessions, with live lectures scheduled for 17:00 to 18:00 GMT (12:00 PM to 1:00 PM US EDT), Monday through Thursday (Friday will be a reserve day). Homework assignments will involve running computationally intensive tools.  Recorded lectures on Linux will also be provided.

Session 1:
Fundamentals of NGS technologies - strategies, platforms and types of experiments that can be done (whole genome, transcriptome, targeted, ChIP-Seq, etc.)

Session 2:
Data formats and overview of algorithms, workflows and command line tools

Session 3:
Whole genome sequencing workflow used for CNV and SNP discovery

Session 4:
Transcriptomics workflow for quantifying abundance of transcripts and alternative splicing junctions

REGISTRATION:
If you haven't already done so, please create an on-line account to access the educational section of our website (http://www.bioinformatics.org/edu/). You may register for the course directly by making a payment using the on-line registration form (use this form only for PayPal and credit card payments for the base tuition listed below.):

   http://www.bioinformatics.org/edu/AGGG

Tuition:
For-profit & government: $1,000 USD
Non-profit & self-pay: $600 USD

Additional discounts are available as follows:
* Professional members: 20% discount (please inquire)
* Limited scholarships may also be available for those in low-income economies (please inquire).

Additional fee:
A one month subscription to our high performance Linux server: $50 lab fee.

For alternative payment methods, please write to edu at bioinformatics.org.

FOR MORE INFORMATION:
For more information, please visit: http://www.bioinformatics.org/wiki/BI231_NGS_Data_Analysis or contact edu at bioinformatics.org.