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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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Informations

Publié par | Odrea |

Ajouté le | 09 mai 2011 |

Nombre de lectures | 261 |

Langue | English |

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