-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-
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 e...@bioinformatics.org.
FOR MORE INFORMATION:
For more information, please visit:
http://www.bioinformatics.org/wiki/BI231_NGS_Data_Analysis or contact
e...@bioinformatics.org.
_______________________________________________
BBB mailing list
BBB@bioinformatics.org
http://www.bioinformatics.org/mailman/listinfo/bbb
