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dc.contributor.authorMaus, Irenaen
dc.contributor.authorBremges, Andreasen
dc.contributor.authorStolze, Yvonneen
dc.contributor.authorHahnke, Sarahen
dc.contributor.authorCibis, Katharina Gen
dc.contributor.authorKoeck, Daniela Een
dc.contributor.authorKim, Yong Sen
dc.contributor.authorKreubel, Janaen
dc.contributor.authorHassa, Juliaen
dc.contributor.authorWibberg, Danielen
dc.contributor.authorWeimann, Aaronen
dc.contributor.authorOff, Sandraen
dc.contributor.authorStantscheff, Robbinen
dc.contributor.authorZverlov, Vladimir Ven
dc.contributor.authorSchwarz, Wolfgang Hen
dc.contributor.authorKönig, Helmuten
dc.contributor.authorLiebl, Wolfgangen
dc.contributor.authorScherer, Paulen
dc.contributor.authorMcHardy, A Cen
dc.contributor.authorSczyrba, Alexanderen
dc.contributor.authorKlocke, Michaelen
dc.contributor.authorPühler, Alfreden
dc.contributor.authorSchlüter, Andreasen
dc.date.accessioned2017-12-14T13:21:15Z
dc.date.available2017-12-14T13:21:15Z
dc.date.issued2017
dc.identifier.citationGenomics and prevalence of bacterial and archaeal isolates from biogas-producing microbiomes. 2017, 10:264 Biotechnol Biofuelsen
dc.identifier.issn1754-6834
dc.identifier.pmid29158776
dc.identifier.doi10.1186/s13068-017-0947-1
dc.identifier.urihttp://hdl.handle.net/10033/621207
dc.description.abstractTo elucidate biogas microbial communities and processes, the application of high-throughput DNA analysis approaches is becoming increasingly important. Unfortunately, generated data can only partialy be interpreted rudimentary since databases lack reference sequences.
dc.language.isoenen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.titleGenomics and prevalence of bacterial and archaeal isolates from biogas-producing microbiomes.en
dc.typeArticleen
dc.contributor.departmentBRICS, Braunschweiger Zentrum für Systembiologie, Rebenring 56, 38106 Braunschweig, Germany.en
dc.identifier.journalBiotechnology for biofuelsen
refterms.dateFOA2018-06-12T23:28:35Z
html.description.abstractTo elucidate biogas microbial communities and processes, the application of high-throughput DNA analysis approaches is becoming increasingly important. Unfortunately, generated data can only partialy be interpreted rudimentary since databases lack reference sequences.


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