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LMAS Test Dataset - BMock12 Community Standards

<p>The twelve bacterial replicons of the&nbsp;<a href="https://www.nature.com/articles/s41597-019-0287-z#Abs1">BMock12 Community Standards</a>&nbsp;were used as reference. It includes the following strains:</p> <table> <thead> <tr> <th>Species</th> <th>Sample ID</th> <th>Depth of Coverage (x)</th> </tr> </thead> <tbody> <tr> <td>Muricauda sp. ES.050</td> <td>2615840527</td> <td>618.76</td> </tr> <tr> <td>Thioclava sp. ES.032</td> <td>2615840533</td> <td>78.32</td> </tr> <tr> <td>Cohaesibacter sp. ES.047</td> <td>2615840601</td> <td>170.59</td> </tr> <tr> <td>Propionibacteriaceae bacterium</td> <td>2615840646</td> <td>31.90</td> </tr> <tr> <td>Marinobacter sp. LV10R510-8</td> <td>2615840697</td> <td>447.83</td> </tr> <tr> <td>Marinobacter sp. LV10MA510-1</td> <td>2616644829</td> <td>135.05</td> </tr> <tr> <td>Psychrobacter sp. LV10R520-6</td> <td>2617270709</td> <td>425.47</td> </tr> <tr> <td>Micromonospora echinaurantiaca</td> <td>2623620557</td> <td>14.91</td> </tr> <tr> <td>Micromonospora echinofusca</td> <td>2623620567</td> <td>18.19</td> </tr> <tr> <td>Micromonospora coxensis</td> <td>2623620609</td> <td>0.02</td> </tr> <tr> <td>Halomonas sp. HL-4</td> <td>2623620617</td> <td>507.08</td> </tr> <tr> <td>Halomonas sp. HL-93</td> <td>2623620618</td> <td>579.87</td> </tr> </tbody> </table> <p>The raw sequence data of the mock communities, with an even distribution of species, is available at:</p> <ul> <li><a href="https://www.ebi.ac.uk/ena/browser/view/SRR8073716?show=reads">SRR8073716</a></li> </ul> <p>For the sake of a less resource-intense evaluation we downsampled to have 20% of the reads available in the original sample and further processed only these. The main challenges of this data set are possibly to assemble the genomes of the three&nbsp;<em>Micromonospora</em>&nbsp;spp. and the two&nbsp;<em>Halomonas</em>&nbsp;spp. strains, which have an ANIb &gt;0.84 and 0.98, respectively. The two&nbsp;<em>Marinobacter</em>&nbsp;spp. have an ANIb of 0.78.</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0

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