xQTL workbench manual

New biotechnologies enable exciting QTL experiments that link genetic variation to 'all' gene expression, protein and metabolite traits. Powerful software and hardware are available to analyze these new data but the considerable effort needed to configure pipelines, to scale up processing and to track raw, intermediate and result data are a barrier for most except a small community of experts. Here we report XGAP/cluster: a collaborative effort to bring seamless data management, advanced analytical pipelines and high throughput cluster computing together in one box to biologists workbench.

• Table of Contents
  • Biologist
    • Introduction?
    • Registration and login
    • Browse or search available data
    • Import new data
    • Run QTL analysis
  • Bioinformatician
    • Add a new R script
    • Tag data and configure parameters
    • Setup a new runnable analysis
  • Administrator
    • Manage users and permissions
    • Manage database and storage
    • Installation and maintanance
    • Setup job submission