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Description
Progenesis SameSpots Tutorial
Progenesis SameSpots
Tutorial
Including Progenesis Stats
1 Progenesis SameSpots Tutorial
Introduction
This tutorial takes you through the complete analysis of a 4 gel 2D DIGE experiment* (12 images
in total) using the three key parts of our unique SameSpots workflow. Specifically you will start
with image alignment, followed by analysis that creates a list of interesting spots and finally
exploring results within Progenesis Stats using multivariate statistical methods.
"The statistical analysis of quantitative protein expression data from 2-DE proteomic experiments has previously been
compromised by extensive "missing" data, due to problems of spot detection and matching between 2-D gels within an
experiment. This problem has been completely overcome with the advent of Progenesis SameSpots, allowing us to
apply more rigorous statistical tests. SameSpots provides much faster analysis of large 2-D gel data sets because of
the reduced need for user interaction to carry out tasks such as spot editing and manual matching between gels. The
results are therefore more objective and we have much greater confidence in their statistical validity."
Mike Dunn, Professor of Biomedical Proteomics, UCD Conway Institute, Ireland and President of the British
Society for Proteome Research
How to use this document
You can print this tutorial to help you work hands-on with the software. The ...
Progenesis SameSpots
Tutorial
Including Progenesis Stats
1 Progenesis SameSpots Tutorial
Introduction
This tutorial takes you through the complete analysis of a 4 gel 2D DIGE experiment* (12 images
in total) using the three key parts of our unique SameSpots workflow. Specifically you will start
with image alignment, followed by analysis that creates a list of interesting spots and finally
exploring results within Progenesis Stats using multivariate statistical methods.
"The statistical analysis of quantitative protein expression data from 2-DE proteomic experiments has previously been
compromised by extensive "missing" data, due to problems of spot detection and matching between 2-D gels within an
experiment. This problem has been completely overcome with the advent of Progenesis SameSpots, allowing us to
apply more rigorous statistical tests. SameSpots provides much faster analysis of large 2-D gel data sets because of
the reduced need for user interaction to carry out tasks such as spot editing and manual matching between gels. The
results are therefore more objective and we have much greater confidence in their statistical validity."
Mike Dunn, Professor of Biomedical Proteomics, UCD Conway Institute, Ireland and President of the British
Society for Proteome Research
How to use this document
You can print this tutorial to help you work hands-on with the software. The ...
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Langue
English
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Poids de l'ouvrage
4 Mo