Perturbations to uncover gene networks

Jesper Tegnér*, Johan Björkegren

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

42 Scopus citations


After the major achievements of the DNA sequencing projects, an equally important challenge now is to uncover the functional relationships among genes (i.e. gene networks). It has become increasingly clear that computational algorithms are crucial for extracting meaningful information from the massive amount of data generated by high-throughput genome-wide technologies. Here, we summarise how systems identification algorithms, originating from physics and control theory, have been adapted for use in biology. We also explain how experimental perturbations combined with genome-wide measurements are being used to uncover gene networks. Perturbation techniques could pave the way for identifying gene networks in more complex settings such as multifactorial diseases and for improving the efficacy of drug evaluation.

Original languageEnglish (US)
Pages (from-to)34-41
Number of pages8
JournalTrends in Genetics
Issue number1
StatePublished - Jan 2007
Externally publishedYes

ASJC Scopus subject areas

  • Genetics


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