PUB - Publikationen an der Universität Bielefeld

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• [15]
  

  2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2733521

  J. Stoeveken, et al., “Successful heterologous expression of a novel chitinase identified by sequence analyses of the metagenome from a chitin-enriched soil sample”, Journal of Biotechnology, vol. 201, 2015, pp. 60-68.

  PUB | DOI | WoS | PubMed | Europe PMC
   
• [14]
  

  2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2605193

  F.G. Eikmeyer, et al., “Detailed analysis of metagenome datasets obtained from biogas-producing microbial communities residing in biogas reactors does not indicate the presence of putative pathogenic microorganisms”, Biotechnology for Biofuels, vol. 6, 2013, : 49.

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• [13]
  

  2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2605230

  A. Hanreich, et al., “Metagenome and metaproteome analyses of microbial communities in mesophilic biogas-producing anaerobic batch fermentations indicate concerted plant carbohydrate degradation”, Systematic and Applied Microbiology, vol. 36, 2013, pp. 330-338.

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• [12]
  

  2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2609868

  V. Shah, et al., “Taxonomic Profiling and Metagenome Analysis of a Microbial Community from a Habitat Contaminated with Industrial Discharges”, Microbial Ecology, vol. 66, 2013, pp. 533-550.

  PUB | DOI | WoS | PubMed | Europe PMC
   
• [11]
  

  2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2614207

  F.G. Eikmeyer, et al., “Metagenome analyses reveal the influence of the inoculant Lactobacillus buchneri CD034 on the microbial community involved in grass silaging”, Journal of Biotechnology, vol. 167, 2013, pp. 334-343.

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• [10]
  

  2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2529202

  M. Zakrzewski, et al., “MetaSAMS - A novel software platform for taxonomic classification, functional annotation and comparative analysis of metagenome datasets”, Journal of Biotechnology, vol. 167, 2013, pp. 156-165.

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• [9]
  

  2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2484618

  M. Zakrzewski, et al., “Profiling of the metabolically active community from a production-scale biogas plant by means of high-throughput metatranscriptome sequencing”, Journal of Biotechnology, vol. 158, 2012, pp. 248-258.

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• [8]
  

  2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2471858

  L. Ausec, et al., “Correction: bioinformatic analysis reveals high diversity of bacterial genes for laccase-like enzymes”, PLoS ONE, vol. 7, 2012.

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• [7]
  

  2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2471681

  A. Rademacher, et al., “Characterization of microbial biofilms in a thermophilic biogas system by high-throughput metagenome sequencing”, FEMS Microbiology Ecology, vol. 79, 2012, pp. 785-799.

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• [6]
  

  2012 | Bielefelder E-Dissertation | PUB-ID: 2533144

  M. Zakrzewski, Development of computational methods for the analysis of metagenome and metatranscriptome data, Bielefeld: Universität Bielefeld, 2012.

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• [5]
  

  2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2003276

  S. Jaenicke, et al., “Comparative and Joint Analysis of Two Metagenomic Datasets from a Biogas Fermenter Obtained by 454-Pyrosequencing”, PLoS ONE, vol. 6, 2011, : e14519.

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• [4]
  

  2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2411830

  L. Ausec, et al., “Bioinformatic analysis reveals high diversity of bacterial genes for laccase-like enzymes”, PLoS ONE, vol. 6, 2011, : e25724.

  PUB | DOI | WoS | PubMed | Europe PMC
   
• [3]
  

  2011 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2447751

  S. Jaenicke, et al., “Analysis of the Metagenome from a Biogas-Producing Microbial Community by Means of Bioinformatics Methods”, Handbook of Molecular Microbial Ecology II: Metagenomics in Different Habitats, F.J. de Bruijn, ed., Hoboken, NJ, USA: Wiley-Blackwell, 2011, pp.403-414.

  PUB | DOI
   
• [2]
  

  2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1783187

  J. Blom, et al., “EDGAR: a software framework for the comparative analysis of prokaryotic genomes”, BMC Bioinformatics, vol. 10, 2009, : 154.

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• [1]
  

  2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1634447

  T. Bekel, et al., “The Sequence Analysis and Management System - SAMS-2.0: Data management and sequence analysis adapted to changing requirements from traditional sanger sequencing to ultrafast sequencing technologies”, Journal of Biotechnology, vol. 140, 2009, pp. 3-12.

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