1. Industrialization of data generation in biology and medicine
Massive growth on biological data and databases.

2. Systems level analysis in biology, chemical biology and medicine
Systems can determine disease terminology frequencies.

3. Big data and information reduction
Which data is useful, which is reductive?

4. Costing shift to interpretation of big data in biology
Data use to be the expensive part. Now data is cheap, but the analysis cost.

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