broad-scale environmental context | Human digestive system |
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collection date | not provided |
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environmental medium | faeces |
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geographic location | not provided |
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investigation type | metagenome-assembled genome |
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isolation source | human feces metagenome |
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project name | To find associations between the taxonomical and functional profile of the gut metagenome and the development of retinopathia centralis Serosa (RCS), stool samples from 19 RCS patients and 19 controls with no signs of RCS were sequenced. |
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sample name | ERR4316487_bin.38_MetaWRAP_v1.3_MAG |
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ENA-CHECKLIST | ERC000047 |
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ENA-FIRST-PUBLIC | 2023-07-13T16:22:52Z |
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ENA-LAST-UPDATE | 2023-07-13T16:22:52Z |
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External Id | SAMEA114062224 |
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INSDC center alias | EMG |
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INSDC center name | EMG |
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INSDC first public | 2023-07-13T16:22:52Z |
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INSDC last update | 2023-07-13T16:22:52Z |
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INSDC status | public |
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Submitter Id | ERR4316487_bin.38_MetaWRAP_v1.3_MAG |
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assembly quality | Many fragments with little to no review of assembly other than reporting of standard assembly statistics |
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assembly software | metaspades v3.15.3 |
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binning parameters | MaxBin2, MetaBat2, Concoct with default parameter of the metaWRAP pipeline. Bin refinement module used from metaWRAP with default parameters. |
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binning software | MetaWRAP v1.3 |
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broker name | EMG broker account, EMBL-EBI |
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completeness score | 98.65 |
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completeness software | CheckM |
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contamination score | 0.0 |
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geographic location (latitude) | not provided |
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geographic location (longitude) | not provided |
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local environmental context | colon |
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metagenomic source | human feces metagenome |
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sample derived from | SAMEA7037052 |
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scientific_name | Parabacteroides johnsonii |
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sequencing method | Illumina HiSeq 3000 |
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taxonomic classification | The taxonomy of this Metagenome-Assembled Genome was originally computed with GTDBtk, which assigned the following taxonomic annotation: d__Bacteria;p__Bacteroidetes;c__Bacteroidia;o__Bacteroidales;f__Tannerellaceae;g__Parabacteroides;s__Parabacteroides johnsonii |
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taxonomic identity marker | multi-marker approach |
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