New Results
Metabolic composition of anode community predicts electrical power in microbial fuel cells
André Grüning, Nelli J. Beecroft, Claudio Avignone-Rossa
doi: https://doi.org/10.1101/002337
André Grüning
1Corresponding Author, Department of Computing, University of Surrey, Guildford GU7 2XH, United Kingdom. T: +44-1483-68-2648, F: +44-1483-68-6051
Nelli J. Beecroft
2Department of Microbial and Cellular Sciences, University of Surrey, Guildford GU7 2XH
Claudio Avignone-Rossa
2Department of Microbial and Cellular Sciences, University of Surrey, Guildford GU7 2XH
Article usage
Posted February 07, 2014.
Metabolic composition of anode community predicts electrical power in microbial fuel cells
André Grüning, Nelli J. Beecroft, Claudio Avignone-Rossa
bioRxiv 002337; doi: https://doi.org/10.1101/002337
Subject Area
Subject Areas
- Biochemistry (11752)
- Bioengineering (8752)
- Bioinformatics (29200)
- Biophysics (14974)
- Cancer Biology (12096)
- Cell Biology (17411)
- Clinical Trials (138)
- Developmental Biology (9421)
- Ecology (14182)
- Epidemiology (2067)
- Evolutionary Biology (18308)
- Genetics (12245)
- Genomics (16803)
- Immunology (11869)
- Microbiology (28097)
- Molecular Biology (11594)
- Neuroscience (60969)
- Paleontology (451)
- Pathology (1871)
- Pharmacology and Toxicology (3238)
- Physiology (4959)
- Plant Biology (10427)
- Synthetic Biology (2886)
- Systems Biology (7340)
- Zoology (1651)