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In silico analysis of soil, sediment and groundwater microbial communities to predict biodegradation potential.
Cupples, Alison M; Li, Zheng; Wilson, Fernanda Paes; Ramalingam, Vidhya; Kelly, Allison.
Affiliation
  • Cupples AM; Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI, USA. Electronic address: cupplesa@msu.edu.
  • Li Z; Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI, USA.
  • Wilson FP; Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI, USA.
  • Ramalingam V; Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI, USA.
  • Kelly A; Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI, USA.
J Microbiol Methods ; 202: 106595, 2022 11.
Article in En | MEDLINE | ID: mdl-36208772
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Water Pollutants, Chemical / Groundwater / Microbiota Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: J Microbiol Methods Year: 2022 Document type: Article
Fulltext
Add to My VHL
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Water Pollutants, Chemical / Groundwater / Microbiota Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: J Microbiol Methods Year: 2022 Document type: Article