Reverse enGENEering of regulatory networks from Big Data: a guide for a biologist

BioRxiv : the Preprint Server for Biology
Andrey MorgunNatalia Shulzhenko


Omics technologies enable unbiased investigation of biological systems through massively parallel sequence acquisition or molecular measurements, bringing the life sciences into the era of Big Data. A central challenge posed by such omics datasets is how to transform this data into biological knowledge. For example, how to use this data to answer questions such as: which functional pathways are involved in cell differentiation? Which genes should we target to stop cancer? Network analysis is a powerful and general approach to solve this problem consisting of two fundamental stages, network reconstruction and network interrogation. Herein, we provide an overview of network analysis including a step by step guide on how to perform and use this approach to investigate a biological question. In this guide, we also include the software packages that we and others employ for each of the steps of a network analysis workflow.

Related Concepts

Cell Differentiation Process
Hemostatic Function
Computer Software
Reconstructive Surgical Procedures
Biochemical Pathway

Related Feeds

BioRxiv & MedRxiv Preprints

BioRxiv and MedRxiv are the preprint servers for biology and health sciences respectively, operated by Cold Spring Harbor Laboratory. Here are the latest preprint articles (which are not peer-reviewed) from BioRxiv and MedRxiv.

Related Papers

Molecular Diagnosis : a Journal Devoted to the Understanding of Human Disease Through the Clinical Application of Molecular Biology
H B Burke
Current Opinion in Microbiology
Keng Cher Soh, Vassily Hatzimanikatis
© 2021 Meta ULC. All rights reserved