Section: Application Domains

Data and knowledge management

Multiple technologies are producing raw data that have to be cleared and assembled into meaningful observations. It is the realm of statistical studies, with sophisticated normalization procedures, most of them being included in routine treatments. Information is produced in a highly distributed way, in each laboratory. Standardization, structuring of data banks, detection of redundancies and inconsistencies, integration of several sources of data and knowledge, extraction of knowledge from texts, all these are very crucial tasks for bioinformatics [41] . High throughput techniques are also a source of algorithmic issues (assembling of fragments, design of probes).