Researchers at A*STAR have compared six data-analysis processes and come up with a clear winner in terms of speed, quality of analysis and reliability. The top performer took large, complex biological data sets and spat out key relations between parameters (such as grouping blood and marrow cells according to cell type) in a fraction of the time of the other techniques.