Journalartikel

Jahr der Veröffentlichung: 2017

Seiten: 10-23

Zeitschrift: Journal of Biotechnology

Bandnummer: 261

ISSN: 0168-1656

eISSN: 1873-4863

Open Access Status: Hybrid

DOI Link: https://doi.org/10.1016/j.jbiotec.2017.08.012

Verlag: Elsevier

Abstract: 
Metagenomics has proven to be one of the most important research fields for microbial ecology during the last decade. Starting from 16S rRNA marker gene analysis for the characterization of community compositions to whole metagenome shotgun sequencing which additionally allows for functional analysis, metagenomics has been applied in a wide spectrum of research areas. The cost reduction paired with the increase in the amount of data due to the advent of next-generation sequencing led to a rapidly growing demand for bioinformatic software in metagenomics. By now, a large number of tools that can be used to analyze metagenomic datasets has been developed. The Bielefeld-Gie beta en center for microbial bioinformatics as part of the German Network for Bioinformatics Infrastructure bundles and imparts expert knowledge in the analysis of metagenomic datasets, especially in research on microbial communities involved in anaerobic digestion residing in biogas reactors. In this review, we give an overview of the field of metagenomics, introduce into important bioinformatic tools and possible workflows, accompanied by application examples of biogas surveys successfully conducted at the Center for Biotechnology of Bielefeld University.

Harvard-Zitierstil: Jünemann, S., Kleinbölting, N., Jaenicke, S., Henke, C., Hassa, J., Nelkner, J., et al. (2017) Bioinformatics for NGS-based metagenomics and the application to biogas research, Journal of Biotechnology, 261, pp. 10-23. https://doi.org/10.1016/j.jbiotec.2017.08.012

APA-Zitierstil: Jünemann, S., Kleinbölting, N., Jaenicke, S., Henke, C., Hassa, J., Nelkner, J., Stolze, Y., Albaum, S., Schlüter, A., Goesmann, A., Sczyrba, A., & Stoye, J. (2017). Bioinformatics for NGS-based metagenomics and the application to biogas research. Journal of Biotechnology. 261, 10-23. https://doi.org/10.1016/j.jbiotec.2017.08.012