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Archive for the ‘Luminex’ Category

From Genes to Proteins: Multiplex Assays for Studying Gene Regulation and Cell Function

Join us for a Webinar on June 30
Space is limited.
Reserve your Webinar seat now at:
https://www1.gotomeeting.com/register/347794241
Biomarkers for studying gene regulation and cell function can be efficiently analyzed by multiplexed methods.  Dr. Jim Lazar from OriGene Technologies will provide an overview of four different but related detection technologies that can be used to analyze genetic variants, microRNA expression, transcription factor binding, and protein expression on the Luminex xMAP platform.  OriGene’s broad panel of assays and tools for discovery, analysis and validation of multiple classes of important biomarkers will allow researcher to develop more accurate descriptions of biologically complex systems.
Title:   From Genes to Proteins: Multiplex Assays for Studying Gene Regulation and Cell Function
Date: Wednesday, June 30, 2010
Time: 11:00 AM – 12:00 PM PDT
After registering you will receive a confirmation email containing information about joining the Webinar.
System Requirements
PC-based attendees
Required: Windows® 7, Vista, XP, 2003 Server or 2000
Macintosh®-based attendees
Required: Mac OS® X 10.4.11 (Tiger®) or newer


Posted by aliu under Bio Plex, Luminex, MasterPlex QT

The Hitachi Software MiraiBio Group has just released a new build of MasterPlex QT v4.0 that boasts several new improvements:

  • Best Fit Options – The Best Fit feature now offers 3 parameters for which you can optimize for to determine the best curve fit:
    1. Root Mean Square Error (RMSE) – RMSE is a good measure of accuracy or goodness of fit which aggregates the individual differences or residuals between your expected and calculated values into a single measure of predictive power. This is the default option as it is the one that is recommended.
    2. Standard Deviation of % Recovery – This option will provide the model equation and weighting algorithm combination with the lowest standard deviation of percent recovery. The percent recovery is basically the calculated concentration – the expected concentration * 100.
    3. R-squared – This option is the only Best Fit option in previous builds of MasterPlex QT v4.0. It is not as sensitive to the goodness of fit as the RMSE option.

  • Competitive Binding and Inhibition Assays – This build provides improved support for competitive binding or inhibition assays.

  • More Intuitive Auto Fill – Auto Fill is simplified with more intuitive dilution direction buttons and being able to preview the standard values.

Try it out and download the free trial!