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

Autor(es)

Dong, Xiaoxi ^[1] ; Yambartsev, Anatoly ^[2] ; Ramsey, Stephen A. ^{[3, 4]} ; Thomas, Lina D. ^[2] ; Shulzhenko, Natalia ^[4] ; Morgun, Andrey ^[1]

Afiliação do(s) autor(es)

^[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

• Tipo de documento: Artigo Científico
• Fonte: BIOINFORMATICS AND BIOLOGY INSIGHTS; v. 9, p. 61-74, 2015.
• Citações Web of Science: 12

Resumo

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)

• Processo FAPESP: 13/06223-1 - Novas inferências estatísticas explorando mudanças causais em redes biológicas
• Beneficiário: Lina Dornelas Thomas
• Modalidade de apoio: Bolsas no Brasil - Doutorado
• Processo FAPESP: 13/14722-8 - Estudo de mudanças nas redes de coexpressão gênica
• Beneficiário: Lina Dornelas Thomas
• Modalidade de apoio: Bolsas no Exterior - Estágio de Pesquisa - Doutorado