[Useq-users] Whole Transcriptome Analysis of Illumina RNA-Seq Data Webinar this Thursday

[David N. <Dav...@hc...>]

Hello Folks,

Here is likely to be an excellent seminar on RNA-Seq analysis put on by Partek this Thursday.

(PI's please forward this email to lab members likely to be involved in next generation sequencing analysis.)

After reviewing several commercial software packages (GeneSifter/Geospiza, CLC Bio, and DNAStar) we purchased a 1 year license for Partek's Genomic Suite for the U of U Bioinformatics Shared Resource.  It was by far the most useful and statistically rigorous of the GUI based analysis packages. This is installed on our Big Mac workstation.  Feel free to come use it for chIP-seq, RNA-seq, and resequencing variant analysis.

-cheers, David


--
David Austin Nix, PhD | Bioinformatics Shared Resource | Huntsman Cancer Institute | 2000 Circle of Hope | SLC, UT 84112 | Rm: 3165 | Vc: 801.587.4611 | Fx: 801.585.6458 | dav...@hc... | Skype/iChat: LiveNix | WebSite: http://bioserver.hci.utah.edu | DAS/2: http://bioserver.hci.utah.edu:8080/DAS2DB/genome




------ Forwarded Message
From: Partek Workshops <wor...@pa...>
Date: Thu, 23 Sep 2010 15:45:40 -0600
To: David Nix <dav...@hc...>
Subject: Whole Transcriptome Analysis of Illumina RNA-Seq Data Webinar

[cid:3369113952_6363969]

Partek Inc. Presents an Informative and Educational Complimentary Streaming Audio Webinar
Whole Transcriptome Analysis of Illumina RNA-Seq Data

Broadcast Date: Thursday, October 7, 2010

Who should attend?
This webinar is designed for scientists with interest in RNA-Seq research. The concepts discussed will be relevant to seasoned veterans and novices alike. The presentation will outline the broadest range of RNA-Seq data analysis aspects available today in Partek® Genomics Suite(tm).

Key Learning Points:
1.      Announcement of upcoming Partek Web Tools for data alignment
2.      Overview of the RNA-Seq Workflow (including Alternative Splicing, Differential Expression, cSNP Discovery, Allele Specific Expression and more)
3.      Introduction to Statistical Analysis, PCA & Clustering
4.      Data Visualization & Biological Interpretation with Gene Ontologies and Pathways
5.      Examples of RNA-Seq Data Integration with  microarray data, methylation and ChIP-Seq data

Session 1:
Local times: 2:30 PM GMT (London) / 3:30 PM CET (Paris) / 9:30 AM EST (New York)
Register for session 1: https://www2.gotomeeting.com/register/494209018

OR

Session 2:
Local times: 12:00pm PST (San Francisco) / 2:00pm CDT (Chicago) / 3:00pm EDT (New York)
Register for session 2: https://www2.gotomeeting.com/register/773191906

Note: Saving the calendar attachment that came with this email will add the session to your Outlook or iCal calendar; however, to register, you must follow the link above for the session you want to attend. Saving the calendar attachment does not register you for the session.

A live Q&A session will follow the presentation.
Feel welcome to spread this information further!
We look forward to your participation!
The Partek Team



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