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Quantitative Analysis of Genetic and Neuronal Multi-Perturbation Experiments
Author(s) -
Alon Kaufman,
Alon Keinan,
Isaac Meilijson,
Martin Kupiec,
Eytan Ruppin
Publication year - 2005
Publication title -
plos computational biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.628
H-Index - 182
eISSN - 1553-7358
pISSN - 1553-734X
DOI - 10.1371/journal.pcbi.0010064
Subject(s) - systems biology , perturbation (astronomy) , computational biology , biology , computer science , statistical physics , biological system , bioinformatics , physics , quantum mechanics
Perturbation studies, in which functional performance is measured after deletion, mutation, or lesion of elements of a biological system, have been traditionally employed in many fields in biology. The vast majority of these studies have been qualitative and have employed single perturbations, often resulting in little phenotypic effect. Recently, newly emerging experimental techniques have allowed researchers to carry out concomitant multi-perturbations and to uncover the causal functional contributions of system elements. This study presents a rigorous and quantitative multi-perturbation analysis of gene knockout and neuronal ablation experiments. In both cases, a quantification of the elements' contributions, and new insights and predictions, are provided. Multi-perturbation analysis has a potentially wide range of applications and is gradually becoming an essential tool in biology.

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