Bioinformatics for NGS-based metagenomics and the application to biogas research

Jünemann S, Kleinbölting N, Jaenicke S, Henke C, Hassa J, Nelkner J, Stolze Y, Albaum S, Schlüter A, Goesmann A, Sczyrba A, et al. (2017)
Journal of Biotechnology 261(SI): 10-23.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
Erscheinungsjahr
2017
Zeitschriftentitel
Journal of Biotechnology
Band
261
Ausgabe
SI
Seite(n)
10-23
ISSN
0168-1656
Page URI
https://pub.uni-bielefeld.de/record/2913556

Zitieren

Jünemann S, Kleinbölting N, Jaenicke S, et al. Bioinformatics for NGS-based metagenomics and the application to biogas research. Journal of Biotechnology. 2017;261(SI):10-23.
Jünemann, S., Kleinbölting, N., Jaenicke, S., Henke, C., Hassa, J., Nelkner, J., Stolze, Y., et al. (2017). Bioinformatics for NGS-based metagenomics and the application to biogas research. Journal of Biotechnology, 261(SI), 10-23. doi:10.1016/j.jbiotec.2017.08.012
Jünemann, S., Kleinbölting, N., Jaenicke, S., Henke, C., Hassa, J., Nelkner, J., Stolze, Y., Albaum, S., Schlüter, A., Goesmann, A., et al. (2017). Bioinformatics for NGS-based metagenomics and the application to biogas research. Journal of Biotechnology 261, 10-23.
Jünemann, S., et al., 2017. Bioinformatics for NGS-based metagenomics and the application to biogas research. Journal of Biotechnology, 261(SI), p 10-23.
S. Jünemann, et al., “Bioinformatics for NGS-based metagenomics and the application to biogas research”, Journal of Biotechnology, vol. 261, 2017, pp. 10-23.
Jünemann, S., Kleinbölting, N., Jaenicke, S., Henke, C., Hassa, J., Nelkner, J., Stolze, Y., Albaum, S., Schlüter, A., Goesmann, A., Sczyrba, A., Stoye, J.: Bioinformatics for NGS-based metagenomics and the application to biogas research. Journal of Biotechnology. 261, 10-23 (2017).
Jünemann, Sebastian, Kleinbölting, Nils, Jaenicke, Sebastian, Henke, Christian, Hassa, Julia, Nelkner, Johanna, Stolze, Yvonne, Albaum, Stefan, Schlüter, Andreas, Goesmann, Alexander, Sczyrba, Alexander, and Stoye, Jens. “Bioinformatics for NGS-based metagenomics and the application to biogas research”. Journal of Biotechnology 261.SI (2017): 10-23.
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3 Zitationen in Europe PMC

Daten bereitgestellt von Europe PubMed Central.

Metaproteome analysis reveals that syntrophy, competition, and phage-host interaction shape microbial communities in biogas plants.
Heyer R, Schallert K, Siewert C, Kohrs F, Greve J, Maus I, Klang J, Klocke M, Heiermann M, Hoffmann M, Püttker S, Calusinska M, Zoun R, Saake G, Benndorf D, Reichl U., Microbiome 7(1), 2019
PMID: 31029164
Effect of Long-Term Farming Practices on Agricultural Soil Microbiome Members Represented by Metagenomically Assembled Genomes (MAGs) and Their Predicted Plant-Beneficial Genes.
Nelkner J, Henke C, Lin TW, Pätzold W, Hassa J, Jaenicke S, Grosch R, Pühler A, Sczyrba A, Schlüter A., Genes (Basel) 10(6), 2019
PMID: 31163637
Metagenome, metatranscriptome, and metaproteome approaches unraveled compositions and functional relationships of microbial communities residing in biogas plants.
Hassa J, Maus I, Off S, Pühler A, Scherer P, Klocke M, Schlüter A., Appl Microbiol Biotechnol 102(12), 2018
PMID: 29713790

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