Use of 16S rDNA Sequencing to Determine Procaryotic Diversity of a Remote Aviation Fuel-Polluted Lentic Ecosystem in Ibeno, Nigeria

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The Publications on Afrischolar Discovery Repository are open-access are distributed under the terms of the CC BY-NC 4.0 DEED Attribution-NonCommercial 4.0 International which...

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DyNET Technologies LLC updated the dataset Use of 16S rDNA Sequencing to Determine Procaryotic Diversity of a Remote Aviation Fuel-Polluted Lentic Ecosystem in Ibeno, Nigeria
1 year ago
DyNET Technologies LLC updated the dataset Use of 16S rDNA Sequencing to Determine Procaryotic Diversity of a Remote Aviation Fuel-Polluted Lentic Ecosystem in Ibeno, Nigeria
2 years ago
DyNET Technologies LLC updated the dataset Use of 16S rDNA Sequencing to Determine Procaryotic Diversity of a Remote Aviation Fuel-Polluted Lentic Ecosystem in Ibeno, Nigeria
2 years ago
DyNET Technologies LLC created the dataset Use of 16S rDNA Sequencing to Determine Procaryotic Diversity of a Remote Aviation Fuel-Polluted Lentic Ecosystem in Ibeno, Nigeria
2 years ago

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