Quantitative analysis of genetic and neuronal multi-perturbation experiments.
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...
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2005-11-01
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Series: | PLoS Computational Biology |
Online Access: | http://dx.doi.org/10.1371/journal.pcbi.0010064 |
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doaj-c9ed9afaeb5b49c7980445293c0d9f7c2020-11-24T23:55:50ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582005-11-0116e64Quantitative analysis of genetic and neuronal multi-perturbation experiments.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.http://dx.doi.org/10.1371/journal.pcbi.0010064 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
title |
Quantitative analysis of genetic and neuronal multi-perturbation experiments. |
spellingShingle |
Quantitative analysis of genetic and neuronal multi-perturbation experiments. PLoS Computational Biology |
title_short |
Quantitative analysis of genetic and neuronal multi-perturbation experiments. |
title_full |
Quantitative analysis of genetic and neuronal multi-perturbation experiments. |
title_fullStr |
Quantitative analysis of genetic and neuronal multi-perturbation experiments. |
title_full_unstemmed |
Quantitative analysis of genetic and neuronal multi-perturbation experiments. |
title_sort |
quantitative analysis of genetic and neuronal multi-perturbation experiments. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS Computational Biology |
issn |
1553-734X 1553-7358 |
publishDate |
2005-11-01 |
description |
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. |
url |
http://dx.doi.org/10.1371/journal.pcbi.0010064 |
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1725460968407826432 |