anu-bioinfo / peitho

Experimental Design for Systems Biology

PEITHO - Perfecting Experiments with Information Theory

MOTIVATION

Different experiments provide differing levels of information about a biological system. This makes it difficult, a priori, to select one of them beyond mere speculation and/or belief, especially when resources are limited. Herein we present PEITH(Θ), a general purpose, command line interface built in Python, and developed to tackle the problem of experimental selection using information theory. PEITH(Θ) extends the work of Liepe et al. [1] giving users the capability to simulate a range of experiments and make a selection beyond guesswork.

MANUAL

The manual provides an easy to follow installation procedure, technical background information and detailed instructions on how to use PEITH(Θ). manual

REFERENCES

[1] J. Liepe, S. Filippi, M. Komorowski, and M. P. Stumpf, “Maximizing the information content of experiments in systems biology,” PLoS Comput Biol, vol. 9, no. 1, p. e1002888, 2013.