To increase quality and speed of inter pretation of clinical genetic data in dia gnostic settings, we are developing an analysis workbench enabling rules-based semi-automated analysis of sequence variant data. The workbench is part of the project Norwegian clinical genetic Analysis Platform (genAP). Rules are based on standard operating procedures at our department, and development is done in close collaboration with users. A beta version ready for full-fledged analysis of patient data is scheduled by the end of this year. The genAP workbench (Figure 2) guides the analyst through assessment of variants according to standard operating procedures. Each tab represents a successive step in the analysis workflow (see Figure 1), resulting in temporary removal from further analysis and/or adding information to the final evaluation. Throughout the interface, intuitive colour coding highlights crucial information. This includes previous classifications, frequency data for variants above a " neutral " threshold, classifications in external databases, results from prediction tools (including splice prediction in an upcoming version), as well as information from literature references. For the latter, we have also included an evaluation module, distinguishing between references of high or low quality. The final evaluation is done in the report tab, which displays all observed variants for a given sample, prioritised according to rules specified for each clinical question and gene panel. In addition to the quick impression from the colour coding the workbench also suggests a classification. This suggestion is based on rules-based interpretation of the annotated evidence, but also on user actions and additions in the previous tabs. THE GENAP PROJECT The genAP project was initiated as a response to the challenges posed by introduction of HTS methods into clinical practice. The aim is to establish a centralized infrastructure for secure storage and analysis of human sequencing data that allows for disseminated clinical use. To meet the challenges of increasing amounts of data, the project is focused on achieving a high degree of automation in all steps from variant annotation to reporting of results. Figure 3 gives a schematic overview of the system, including the workbench (bottom-left) that is the focus of this poster. FIGURE 3: The genAP system Clinicians log into the communication module with explicit consent from the patient. The order is passed on to the lab and the sequencing data processing module, which calls and annotates variants using public and in-house data. Annotated data are passed on to the interpreter module, which performs prioritisation of variants based on rules specific to each gene panel. This is done in close connection with manual review in the analysis workbench (Figure 1 and 2), successively adding information that is needed for completion. Approved results are added to the in-house database. The final report is passed on back to the communication module.