Problem

• Requirements for research software change as the experiments progress.
• Software needs to be extendable as the experiments progress.
• Software needs to change function when the experiments change.
• Writing new software for each experiment is slow to program and the software never gets optimized or debugged well.
• Data needs to be is easily accessible and resuable formats. Generating data in the laboratory is usually the hardest step. Get the most from data by encouraging more analysis.
• Bioinformatics work often involves intersecting or correlating different sets of data together, so make it as easy as possible to work with the data.