Gene regulatory networks: a primer in biological processes and statistical modelling

Autor:	Angelin-Bonnet, Olivia, Biggs, Patrick J., Vignes, Matthieu
Rok vydání:	2018
Předmět:	Quantitative Biology - Quantitative Methods Quantitative Biology - Molecular Networks Statistics - Applications
Druh dokumentu:	Working Paper
Popis:	Modelling gene regulatory networks not only requires a thorough understanding of the biological system depicted but also the ability to accurately represent this system from a mathematical perspective. Throughout this chapter, we aim to familiarise the reader with the biological processes and molecular factors at play in the process of gene expression regulation.We first describe the different interactions controlling each step of the expression process, from transcription to mRNA and protein decay. In the second section, we provide statistical tools to accurately represent this biological complexity in the form of mathematical models. Amongst other considerations, we discuss the topological properties of biological networks, the application of deterministic and stochastic frameworks and the quantitative modelling of regulation. We particularly focus on the use of such models for the simulation of expression data that can serve as a benchmark for the testing of network inference algorithms. Comment: This chapter will appear in the forthcoming book "Gene Regulatory Networks: Methods and Protocols", published by Springer Nature
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1805.01098 Zobrazit plný text záznamu View this record from Arxiv