Creation and Application of Multi-omics Analysis Pipelines

Modern omics data often require complex multi-step processing even before the biological analysis can commence. Moreover, the measurements can be correlated with a growing body of knowledge to elucidate their functional or medical relations. This situation demands computational pipelines that automatize the necessary tasks in order to cope with the increasing complexity of data and analysis methods. Computational pipelines further afford increased reproducibility, scalability and extensibility. In this project we will apply existing workflows and tools with the aim of constructing a new pipeline to process and compare multi-omics data sets. Outputs of similar methods and databases can be compared and selected. The pipeline can incorporate analysis workflows and tools provided by the geneXplain platform as well as other publicly available resources. The spectrum of methods and databases of the geneXplain platform includes among others gene functional classes, gene/drug interactions, molecular networks and pathways, transcription factor binding sites, DNA-sequence motifs, composite modules, disease biomarkers and therapeutic targets.