VEBA Microeukaryotic Protein Database (MicroEuk100/90/50, Version 3)
<p>Microeukaryotic protein database consisting of protists and fungi for <a href="https://github.com/jolespin/veba">VEBA</a>.</p><p> </p><p><strong>Number of sequences:</strong></p><p> * MicroEuk100 = 79,920,431 (19 GB)</p><p> * MicroEuk90 = 51,767,730 (13 GB)</p><p> * MicroEuk50 = 29,898,853 (6.5 GB)</p><p> </p><p><strong>Number of source organisms per dataset:</strong></p><p>* MycoCosm = 2503</p><p>* PhycoCosm = 174</p><p>* EnsemblProtists = 233</p><p>* MMETSP = 759</p><p>* TARA_SAGv1 = 8</p><p>* EukProt = 366</p><p>* EukZoo = 27</p><p>* TARA_SMAGv1 = 389</p><p>* NR_Protists-Fungi = 48217</p><p> </p><p><strong>Files:</strong></p><p>MicroEuk_v3.tar.gz = 25 GB</p><p>-rw-rw---- 1 jespinoz jcl110 19G Nov 15 14:57 MicroEuk100.faa.gz - Main fasta file with 79,920,431 protein sequences from 52,676 source organisms. Uses md5 hash identifiers.</p><p>-rw-rw---- 1 jespinoz jcl110 2.0G Nov 15 14:59 identifier_mapping.proteins.tsv.gz - Protein identifier mappings between datasets, original identifiers, source organisms, and md5 hash identifiers.</p><p>-rw-rw---- 1 jespinoz jcl110 1.7G Nov 15 16:10 MicroEuk90_clusters.tsv.gz - MMSEQS2 clustering MicroEuk100</p><p>-rw-rw---- 1 jespinoz jcl110 1.5G Nov 15 14:57 MicroEuk100.list.gz - List of md5 hash protein identifiers in MicroEuk100</p><p>-rw-rw---- 1 jespinoz jcl110 1.1G Nov 15 16:10 MicroEuk50_clusters.tsv.gz - MMSEQS2 clustering MicroEuk90</p><p>-rw-rw---- 1 jespinoz jcl110 13M Nov 15 23:39 MicroEuk100.eukaryota_odb10.list.gz - MicroEuk100 protein identifier hits to BUSCO's eukaryota_odb10 marker using the provided score thresholds</p><p>-rw-rw---- 1 jespinoz jcl110 1.5M Nov 15 14:58 source_taxonomy.tsv.gz - Source taxonomy, lineage, dataset, and notes for each source organism</p><p> </p><p><strong>For more information and citations, please visit the main GitHub repository: </strong></p><p><a href="https://github.com/jolespin/veba">https://github.com/jolespin/veba</a></p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 4