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- What is bioinformatics?
- The role of public databases
- What makes a good bioinformatics database?
- Tips on managing and sharing data
- Where do I submit my data?
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Integrating
Data integration is a longstanding challenge for bioinformatics (Figure 18) but can be a tremendously powerful means of gathering evidence for or against a hypothesis. For example, integrating data from transcriptomics, proteomics and metabolomics experiments can help to build evidence that a particular pathway is involved in a disease, or in resistance to a drug.
As with systems modelling, data integration helps you to generate hypotheses, but must be combined with experimental approaches to test your hypothesis.