Saturday, 25 August 2012

Why R for Mass Spectrometrist and Computational Proteomics

Why R:

Actually, It is a common practice the integration of the statistical analysis of the resulted data and in silico predictions of the data generated in your manuscript and your daily research. Mass spectrometrist, biologist and bioinformaticians commonly use programs like excel, calc or other office tools to generate their charts and statistical analysis. In recent years many computational biologists especially those from the Genomics field, regard R and Bioconductor as fundamental tools for their research.

R is a modern, functional programming language that allows for rapid development of ideas; it is a language and environment for statistical computing and graphics.The rich set of inbuilt functions makes it ideal for high-volume analysis or statistical studies.

Thursday, 9 August 2012

Computational Methods of AP/MS Protein Interaction Data

I want to share with you an excellent presentation from Professor Alexey Nesvizhskii (Dept. of Pathology, University of Michigan). Even when this presentation is from 2009, some concepts like protein inference, label free quantification are now generating an important number of new algorithms are tools. Also, it is an excellent starting point for biologist and developers about Computational Proteomics Algorithms and Methods.