Let it hurt. Let it hurt, but don’t let it destroy you. Be patient and kind and understanding with yourself. Stay close to those who are also that...
BI231 NGS Data Analysis
June 27-July 1, 2011
Online at Bioinformatics.Org
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.
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.
The course is divided into 4 sessions, with live lectures tentatively scheduled for 12:00 PM to 1:30 PM US EDT, Monday through Thursday (Friday will be a reserve day). Homework assignments will involve running computationally intensive tools.
Fundamentals of NGS technologies - strategies, platforms and types of experiments that can be done (whole genome, transcriptome, targeted, ChIP-Seq, etc.)
Data formats and overview of algorithms, workflows and command line tools
Whole genome sequencing workflow used for CNV and SNP discovery
Transcriptomics workflow for quantifying abundance of transcripts and alternative splicing junctions
Course attendees should have access to a powerful Linux/Unix workstation to run the examples in this course. Minimum requirements: Dual-CPU, quad-core 2 GHz processor or higher, 32 GB RAM, 200 GB free disk space. Attendees can optionally subscribe to our server for 1 month for an additional $100 lab fee.
For-profit & government: $1,000 USD
Non-profit & self-pay: $600 USD
Additional discounts are available as follows:
* Professional members: 20% discount
* Limited scholarships may also be available for those in low-income economies (please inquire).
FOR MORE INFORMATION:
For more information and registration, please visit: http://www.bioinformatics.org/wiki/BI231_NGS_Data_Analysisor contact email@example.com.