ParaSAM: a parallelized version of the significance analysis of microarrays algorithm.

ABSTRACT:

Motivation

Significance analysis of microarrays (SAM) is a widely used permutation-based approach to identifying differentially expressed genes in microarray datasets. While SAM is freely available as an Excel plug-in and as an R-package, analyses are often limited for large datasets due to very high memory requirements.

Summary

We have developed a parallelized version of the SAM algorithm called ParaSAM to overcome the memory limitations. This high performance multithreaded application provides the scientific community with an easy and manageable client-server Windows application with graphical user interface and does not require programming experience to run. The parallel nature of the application comes from the use of web services to perform the permutations. Our results

SUBMITTER: Sharma A 

PROVIDER: S-EPMC2872005 | biostudies-literature | 2010 Jun

REPOSITORIES: biostudies-literature