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Life sciences in general such as genetics and biology have traditionally benefited from Perl with excellent projects leading the way such as BioPerl. Unfortunately, in medical research and epidemiology, the picture is different. Researchers are struggling with the ever increasing size and complexity of datasets. This presentation will briefly describe the situation I faced when I first joined a research team working on coronary heart disease, what I did to make things better and how I achieved one small victory for Perl.