Visual Analytics is a well-known concept to transform data into hypothesis and visualization to create new insight. Unfortunately, this process is affected by a variety of uncertainty events, especially when considering datasets in life sciences. In this talk, the concept of uncertainty-aware visual analytics will be presented. Further, sources of uncertainty as well as the construction of uncertainty-aware visual analytics approaches will be discussed. At last, examples from life sciences will be presented.