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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>&nbsp;</p><p><strong>Number of sequences:</strong></p><p>&nbsp;* MicroEuk100 = 79,920,431 (19 GB)</p><p>&nbsp;* MicroEuk90 &nbsp;= 51,767,730 (13 GB)</p><p>&nbsp;* MicroEuk50 &nbsp;= 29,898,853 (6.5 GB)</p><p>&nbsp;</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>&nbsp;</p><p><strong>Files:</strong></p><p>MicroEuk_v3.tar.gz = 25 GB</p><p>-rw-rw---- 1 jespinoz jcl110 &nbsp;19G Nov 15 14:57 MicroEuk100.faa.gz - Main fasta file with 79,920,431 protein sequences from 52,676 source organisms. &nbsp;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 &nbsp;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>&nbsp;</p><p><strong>For more information and citations, please visit the main GitHub repository:&nbsp;</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