[Next-Generation Sequencing Book]
  • [Photo] J.W. Bizzaro • June 21, 2006
    Asterias is a project developed by the Statistical Computing Team of the Spanish National Cancer Research Center. The project was registered at Bioinformatics.Org a few weeks ago.

    According to the authors, Asterias is a set of web-based applications for the analysis of genomic and proteomic data. They also say that it aspires to become a standard for high-performance, distributed, web-based bioinformatics and biostatistics applications. It uses Python, R, C/C++ and MPI.

    The following features are listed on the website:
    • Gene expression data normalization, preprocessing, and imputation
    • Analysis of differential gene expression
    • Search for molecular signatures, with survival and (planned) class data
    • Search for class prediction and survival prediction models using gene/protein expression data
    • (planned) Analysis of tissue array data
    • Analisys of aCGH data including calling gains and losses, estimating copy number changes, and (planned) joint analysis of aCGH and expression data
    • Functional annotation of analyses results
    • Distributed computing using MPI, (planned) UPC and (planned) Grid
    The Asterias developers are making great use of the project wiki that Bioinformatics.Org sets up for all new projects:
    http://bioinformatics.org/asterias/

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