Graphs in molecular biology
2007

Graphs in Molecular Biology

publication Evidence: moderate

Author Information

Author(s): Huber Wolfgang, Carey Vincent J, Long Li, Falcon Seth, Gentleman Robert

Hypothesis

Can graph theoretical concepts improve the analysis of interactions in biological systems?

Conclusion

Graph theoretical concepts are useful for describing and analyzing interactions in biological systems.

Supporting Evidence

  • Graphs provide a data structure for knowledge representation in molecular biology.
  • Graphs can model measured data from molecular biological experiments.
  • Statistical modeling using graphs can help fit models to describe protein interactions.

Takeaway

Graphs help scientists understand how different parts of living things interact with each other, like how proteins work together.

Methodology

The article discusses various applications of graph theory in molecular biology, including knowledge representation and statistical modeling.

Limitations

The treatment of graph theory concepts is not comprehensive and relies on existing literature.

Digital Object Identifier (DOI)

10.1186/1471-2105-8-S6-S8

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication