Please use this identifier to cite or link to this item:
http://hdl.handle.net/11189/6081| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Mekuto, Lukhanyo | - |
| dc.contributor.author | Ntwampe, Seteno Karabo Obed | - |
| dc.contributor.author | Mudumbi, John Baptist Nzukizi | - |
| dc.contributor.author | Akinpelu, Enoch Akinbiyi | - |
| dc.contributor.author | Mewa-Ngongang, Maxwell | - |
| dc.date.accessioned | 2017-10-06T13:25:46Z | - |
| dc.date.available | 2017-10-06T13:25:46Z | - |
| dc.date.issued | 2017 | - |
| dc.identifier.uri | http://dx.doi.org/10.1016/j.dib.2017.06.049 | - |
| dc.identifier.uri | http://hdl.handle.net/11189/6081 | - |
| dc.description.abstract | The datapresented in this article contains the bacterial community structure of the free cyanide(CN-) and thiocyanate(SCN-) degrading organisms that were isolated from electroplating was- tewater and synthetic SCN- containing wastewater.PCR amplification of the 16S rRNA V1-V3 regions was undertaken using the 27F and 518R oligonucleotide primers following the meta- community DNA extraction procedure.The PCR amplicons were processed using the illumina reaction kits as per manufacturer's instruction and sequenced using the illumina MiSeq-2000, using the MiSeq V3kit.The data was processed using bioinformatics tools such as QIIME and the raw sequence files areavailable via NCBI's Sequence Read Archive(SRA) database. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Elsevier Inc | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en |
| dc.subject | Cyanidedegradingorganisms | en_US |
| dc.subject | Thiocyanatedegradingorganisms | en_US |
| dc.subject | Metagenomics | en_US |
| dc.subject | 16SrRNAgene | en_US |
| dc.title | Metagenomic data of free cyanide and thiocyanate degrading bacterial communities | en_US |
| dc.type.patent | Dataset | en_US |
| Appears in Collections: | Eng - Research Data BioERG - Research Data | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Lukhanyo-Mekuto.pdf | Data Article | 197.94 kB | Adobe PDF | View/Open |
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