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.
[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.