By definition, practitioners in multidisciplinary fields such as bioinformatics need to keep abreast of the latest research trends in several areas. However, the relevance of research work focused in areas outside their normal specialty may not be immediately obvious to all observers.
For instance, a multi-million dollar, 4-year research project on statistical methods for data mining, called Euredit and funded by the European Union, is creating interesting possibilities for many bioinformatics endeavors, including microarray analysis and forecasting trends.
Euredit’s goal was to analyze census surveys. Due to human nature, these surveys usually contain missing or incorrect data. European governments funded research to determine and improve statistical techniques that can be used to clean this data by filling in gaps or highlighting errors. This research was carried out by government national statistics offices, universities, and research-based companies. The cleaned data produced by this research was then used to better estimate the need for services and programs in communities. The result of this intensive research study was a number of new algorithms relevant to disciplines where data mining is important, with bioinformatics perhaps one of the top beneficiaries. Read the rest of this entry »