Laboratory Assistant Suite (LAS) platform assists the researchers in different laboratory activities. Its modular architecture allows managing different kinds of raw data (e.g., biological, molecular) and tracking experimental data. Each LAS module is tailored to handle specific activities or data types, but it is plugged into a broader and uniform framework thus allowing effortless integration with other system’s elements. In addition, the data models and procedures integrated in the platform try to comply with best practices and standards widely adopted by the research community at large. User interfaces are designed to be practical in hostile environments, in which researchers should minimize their interactions with the system during data entry procedures (e.g., in sterile conditions). Furthermore, the platform supports the integration of different resources and aids in performing a variety of analyses in order to extract knowledge related to tumors. The LAS platform is the result of a joint effort by both IT and biomedical researchers of the Candiolo Cancer Institute.