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How does bioinformatics differ from computational biology?
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Systems biology
Advances in the understanding of biological systems and in the computational interpretation of those systems have enabled biologists to program mammalian cells. The cells shown were programmed to calculate basic logical operations, thanks to a highly complex artificial gene network.
While the terms bioinformatics and computational biology are often used interchangeably, experts distinguish them based on their primary focus and methodology within the broader context of systems biology.1
- Bioinformatics is generally defined as a hybrid field focused on data management, storage, and analysis. It utilizes computational tools to support biological experimentation and interpret laboratory results, such as curating genomic databases or identifying sequence similarities.12
- Computational biology is considered a branch of biology itself—much like computational physics is a branch of physics. It is defined by the use of computer science techniques to formulate and solve complex biological problems, generate scientific hypotheses, and simulate biological systems.1
In the context of systems biology, which analyzes large, interacting networks of biological components, these fields overlap significantly. While bioinformatics provides the necessary infrastructure for handling high-throughput data, computational biology offers the modeling and simulation frameworks required to understand the dynamic, branched pathways that define living systems.12