Network reconstitution for quantitative subnetwork interaction analysis

Fumiaki Katagiri

doi:10.1007/978-1-4939-6859-6_18

Network reconstitution for quantitative subnetwork interaction analysis

Fumiaki Katagiri

Plant and Microbial Biology

Research output: Chapter in Book/Report/Conference proceeding › Chapter

2 Scopus citations

Abstract

A fundamental task in systems biology is to quantify the contributions of the systems’ parts and their interactions. Here I describe a powerful concept and tool for this purpose: Network reconstitution. Genotypes of an organism that represent all possible combinations of the subnetworks in question will be quantitatively phenotyped. The quantitative phenotype data is analyzed using an R script to obtain estimates for single subnetwork contributions and their interactions.

Original language	English (US)
Title of host publication	Methods in Molecular Biology
Publisher	Humana Press Inc.
Pages	223-231
Number of pages	9
DOIs	https://doi.org/10.1007/978-1-4939-6859-6_18
State	Published - 2017

Publication series

Name	Methods in Molecular Biology
Volume	1578
ISSN (Print)	1064-3745

Bibliographical note

Funding Information:
I thank Rachel Hillmer for critical reading of the manuscript. This work was supported by grants from National Science Foundation, MCB-0918908, IOS-1121425, and MCB-1518058.

Publisher Copyright:
© Springer Science+Business Media LLC 2017.

Keywords

Combinatorial genotypes
Network reconstitution
Quantitative phenotype
Signaling allocation
Subnetwork interactions

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Network reconstitution for quantitative subnetwork interaction analysis

Abstract

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Bibliographical note

Keywords

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