RE: BIO: Introductory IPA workshop July 19th

3 views
Skip to first unread message

Yannick Pouliot

unread,
Jun 28, 2007, 12:08:07 AM6/28/07
to kar...@stanford.edu, stanf...@googlegroups.com

> -----Original Message-----
> From: kar...@stanford.edu [mailto:kar...@stanford.edu]
> Sent: Wednesday, June 27, 2007 6:23 PM
> To: Yannick Pouliot
> Subject: Re: BIO: Introductory IPA workshop July 19th
>
> FYI, that is in the middle of the Gordon conference on Bioinformatics
> in New Hampshire- an unfortunate overlap, bc the people likely
> interested in IPA are the same people likely interested in that
> Gordon.

Sigh. Well, this is an intro workshop and lab-oriented rather than hardcore
bioinfo, so hopefully the folks attending Gordon won't overlap too much with
the target audience.


> Will you have additional sessions?

Yes, likely every several months. Ingenuity also offers webinar-based
training at very regular intervals (see http://www.ingenuity.com/index.html,
under TRAINING SCHEDULE).

Last, a possible poor-man's version will be the likely availability of the
videorecording + slides, with Ingenuity's permission, which I don't have at
present :-)

Cheers,

Y

>
> Thanks :)
>
>
> Quoting Yannick Pouliot <ypou...@stanford.edu>:
>
> > Dear postdoc, a note to let you know of this upcoming Ingenuity
> workshop.
> >
> >
> >
> > Sincerely,
> >
> >
> >
> > Yannick
> >
> >
> > --------------___________________________________
> >
> >
> > Introduction to Ingenuity Pathways Analysis
> >
> >
> > Ingenuity Pathways Analysis (
> > <http://lane.stanford.edu/howto/index.html?id=_1258> IPA ) is a
> powerful
> > tool for understanding microarray and proteomic data sets, as well as
> for
> > the robust querying of biomedical knowledge.
> >
> > This tutorial is intended for life scientists who are new to IPA or
> are
> > envisioning applying it to their data.
> >
> > What: Introduction to basic and intermediate IPA functionality:
> >
> > 1. uploading user data such as microarray measurements.
> >
> > 2. creating and interpreting gene/protein networks based on those
> > measurements.
> >
> > 3. running comparison analyses.
> >
> > 4. overlaying drug, expression data, functional and disease
> information,
> > as well as pathway membership
> >
> > 5. searching for gene/protein function, drug data and disease
> > information.
> >
> > Format : lecture with some hands-on exercises (
> > <http://medblog.stanford.edu/lane-
> faq/archives/IPA_5_Training_Syllabus%205%2
> > 030%2007.pdf> full syllabus )
> > Instructor : Ingenuity trainer
> >
> > When: Thursday July 19th 9:00 AM - 12:00 PM
> >
> > Where: Medical School - Alway
> > <http://lane.stanford.edu/services/spaces/features/m112.html> M112 .
> >
> > Sign-up <http://reggie.stanford.edu/signup.asp?1602>
> >
> > Other Lane Library
> > <http://lane.stanford.edu/search.html?source=all&keywords=ingenuity>
> classes
> > and materials on Ingenuity.
> >
> >
> >
> > _____________________
> >
> > Yannick Pouliot, PhD MBA
> >
> > Bioresearch Informationist
> >
> > Lane Medical Library
> >
> > Knowledge Management Center
> >
> > Information Resources and Technology
> >
> > Stanford University
> >
> > ypou...@stanford.edu
> >
> > http://lane.stanford.edu/contacts/pouliot.html
> >
> > F: 650-725-2238
> >
> >
> >
> >
> >
> >


Reply all
Reply to author
Forward
0 new messages