| 4 | | New biotechnologies enable exciting QTL experiments that link genetic variation to 'all' gene expression, protein and metabolite traits. |
| 5 | | Powerful software and hardware are available to analyze these new data but the considerable effort needed to configure pipelines, to scale |
| 6 | | up processing and to track raw, intermediate and result data are a barrier for most except a small community of experts. Here we report |
| 7 | | XGAP/cluster: a collaborative effort to bring seamless data management, advanced analytical pipelines and high throughput cluster computing |
| 8 | | together in one box to biologists workbench. xQTL workbench is created from the modular [wiki:MolgenisApps/Architecture molgenis_apps] software suite. |
| | 4 | Seamless data management, analytical pipelines and high throughput cluster computing for xQTL mapping (genotypes, phenotypes, gene expressions, metabolites, gene expressions) in plants, animals and humans. |
