First Statistics for Proteomics Course

Edificio de Biología, Universidad Autónoma de Madrid.
15th to 17th December 2010

The registration period will close on 26th November.
The organization will send the list of selected participants to all the applicants before December the 3rd.

Description

Proteomics experiments generate large and complex data sets, but proteomics researches have little professional statistical support when analyzing these data. In this course, two weak points are going to be considered: confidence in protein identification by mass spectrometry, and analysis of protein abundance data in quantitative experiments. Concerning first point, database search algorithms report peptide-spectrum match scores that reflect the quality of the match, but are difficult to interpret and are not associated with statistical meaningful significance measures. Regarding quantitative experiments, suitable statistical analyses are necessary in order to ensure correct conclusions from protein expression data.

The course is focused on the statistical treatment of proteomics data, including three main areas:

- Protein identification data
- 2-DE data analysis
- Isotopic labeling quantification

Entry level for students (target audience):
Experienced proteomics technicians, used to working with protein identification, 2-DE and/or isotopic labeling quantification.

Number of participants:20