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Literature DB >> 19345182

Systems biology strikes gold.

Abstract

Integrating synthetic biology and systems biology efforts can advance our understanding of biomolecular systems. This is illustrated in this issue by Cantone et al. (2009), who construct a synthetic gene network in yeast and use it to assess and benchmark systems biology approaches for reverse engineering endogenous gene networks.

Entities: Species

Mesh：

Year: 2009 PMID： 19345182 DOI： 10.1016/j.cell.2009.03.032

Source DB: PubMed Journal: Cell ISSN： 0092-8674 Impact factor: 41.582

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Cited

8 in total

1. Benchmarking imputation methods for network inference using a novel method of synthetic scRNA-seq data generation.

Authors: Ayoub Lasri; Vahid Shahrezaei; Marc Sturrock
Journal: BMC Bioinformatics Date: 2022-06-17 Impact factor: 3.307

2. Identifying interactions in the time and frequency domains in local and global networks - A Granger Causality Approach.

Authors: Cunlu Zou; Christophe Ladroue; Shuixia Guo; Jianfeng Feng
Journal: BMC Bioinformatics Date: 2010-06-21 Impact factor: 3.169

3. Network Inference and Biological Dynamics.

Authors: C J Oates; S Mukherjee
Journal: Ann Appl Stat Date: 2012-09 Impact factor: 2.083

4. A regulatory network modeled from wild-type gene expression data guides functional predictions in Caenorhabditis elegans development.

Authors: Brandilyn Stigler; Helen M Chamberlin
Journal: BMC Syst Biol Date: 2012-06-26

5. A novel extended Granger Causal Model approach demonstrates brain hemispheric differences during face recognition learning.

Authors: Tian Ge; Keith M Kendrick; Jianfeng Feng
Journal: PLoS Comput Biol Date: 2009-11-20 Impact factor: 4.475

Systems biology strikes gold.

1. Benchmarking imputation methods for network inference using a novel method of synthetic scRNA-seq data generation.

2. Identifying interactions in the time and frequency domains in local and global networks - A Granger Causality Approach.

3. Network Inference and Biological Dynamics.

4. A regulatory network modeled from wild-type gene expression data guides functional predictions in Caenorhabditis elegans development.

5. A novel extended Granger Causal Model approach demonstrates brain hemispheric differences during face recognition learning.

6. Dissection of a complex transcriptional response using genome-wide transcriptional modelling.

7. GoSynthetic database tool to analyse natural and engineered molecular processes.

8. In-vivo real-time control of protein expression from endogenous and synthetic gene networks.