Computational Approaches for Microalgal Biofuel Optimization: A Review
Joint Authors
Koussa, Joseph
Chaiboonchoe, Amphun
Salehi-Ashtiani, Kourosh
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-09-18
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
The increased demand and consumption of fossil fuels have raised interest in finding renewable energy sources throughout the globe.
Much focus has been placed on optimizing microorganisms and primarily microalgae, to efficiently produce compounds that can substitute for fossil fuels.
However, the path to achieving economic feasibility is likely to require strain optimization through using available tools and technologies in the fields of systems and synthetic biology.
Such approaches invoke a deep understanding of the metabolic networks of the organisms and their genomic and proteomic profiles.
The advent of next generation sequencing and other high throughput methods has led to a major increase in availability of biological data.
Integration of such disparate data can help define the emergent metabolic system properties, which is of crucial importance in addressing biofuel production optimization.
Herein, we review major computational tools and approaches developed and used in order to potentially identify target genes, pathways, and reactions of particular interest to biofuel production in algae.
As the use of these tools and approaches has not been fully implemented in algal biofuel research, the aim of this review is to highlight the potential utility of these resources toward their future implementation in algal research.
American Psychological Association (APA)
Koussa, Joseph& Chaiboonchoe, Amphun& Salehi-Ashtiani, Kourosh. 2014. Computational Approaches for Microalgal Biofuel Optimization: A Review. BioMed Research International،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1016428
Modern Language Association (MLA)
Koussa, Joseph…[et al.]. Computational Approaches for Microalgal Biofuel Optimization: A Review. BioMed Research International No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-1016428
American Medical Association (AMA)
Koussa, Joseph& Chaiboonchoe, Amphun& Salehi-Ashtiani, Kourosh. Computational Approaches for Microalgal Biofuel Optimization: A Review. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1016428
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1016428