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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Reverse enGENEering of Regulatory Networks from Big Data: A Road map for Biologists

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Author(s):
Dong, Xiaoxi [1] ; Yambartsev, Anatoly [2] ; Ramsey, Stephen A. [3, 4] ; Thomas, Lina D. [2] ; Shulzhenko, Natalia [4] ; Morgun, Andrey [1]
Total Authors: 6
Affiliation:
[1] Oregon State Univ, Coll Pharm, Corvallis, OR 97331 - USA
[2] Univ Sao Paulo, Inst Math & Stat, Dept Stat, Sao Paulo, SP - Brazil
[3] Oregon State Univ, Dept Biomed Sci, Sch Elect Engn & Comp Sci, Corvallis, OR 97331 - USA
[4] Oregon State Univ, Coll Vet Med, Dept Biomed Sci, Corvallis, OR 97331 - USA
Total Affiliations: 4
Document type: Journal article
Source: BIOINFORMATICS AND BIOLOGY INSIGHTS; v. 9, p. 61-74, 2015.
Web of Science Citations: 12
Abstract

Ornics technologies enable unbiased ins 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 these data into biological knowledge, for example, how to use these 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. Here 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. (AU)

FAPESP's process: 13/06223-1 - New statistical inferences exploring causal changes in biological networks
Grantee:Lina Dornelas Thomas
Support Opportunities: Scholarships in Brazil - Doctorate
FAPESP's process: 13/14722-8 - Study of changes in gene co-expression networks
Grantee:Lina Dornelas Thomas
Support Opportunities: Scholarships abroad - Research Internship - Doctorate