Bioinformatics analysis of metagenomics data of biogas-producing microbial communities in anaerobic digesters: A review
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DOI: 10.1016/j.rser.2018.10.021
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- Shakib Alghashm & Lin Song & Lulu Liu & Chuang Ouyang & John L. Zhou & Xiaowei Li, 2023. "Improvement of Biogas Production Using Biochar from Digestate at Different Pyrolysis Temperatures during OFMSW Anaerobic Digestion," Sustainability, MDPI, vol. 15(15), pages 1-16, August.
- Sakiewicz, P. & Piotrowski, K. & Ober, J. & Karwot, J., 2020. "Innovative artificial neural network approach for integrated biogas – wastewater treatment system modelling: Effect of plant operating parameters on process intensification," Renewable and Sustainable Energy Reviews, Elsevier, vol. 124(C).
- Stephen Tangwe & Patrick Mukumba & Golden Makaka, 2022. "Comparison of the Prediction Accuracy of Total Viable Bacteria Counts in a Batch Balloon Digester Charged with Cow Manure: Multiple Linear Regression and Non-Linear Regression Models," Energies, MDPI, vol. 15(19), pages 1-23, October.
- Susanne Theuerl & Christiane Herrmann & Monika Heiermann & Philipp Grundmann & Niels Landwehr & Ulrich Kreidenweis & Annette Prochnow, 2019. "The Future Agricultural Biogas Plant in Germany: A Vision," Energies, MDPI, vol. 12(3), pages 1-32, January.
- Susanne Theuerl & Johanna Klang & Annette Prochnow, 2019. "Process Disturbances in Agricultural Biogas Production—Causes, Mechanisms and Effects on the Biogas Microbiome: A Review," Energies, MDPI, vol. 12(3), pages 1-20, January.
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Keywords
Anaerobic digestion; Microbial communities; Bioinformatics; Metagenomics; Pyrosequencing; Artificial neural network;All these keywords.
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