MultiBarcodeTools: Supplementary Data
<p>Supplementary Data of MultiBarcodeTools.</p><ul><li><strong>refDB_34_Primers_fish.tsv.gz</strong>: a reference database for amplicons of 34 fish eDNA metabarcoding primers predicted using <a href="https://doi.org/10.1111/1755-0998.13741">CRABS v0.1.3 (Jeunen et al., 2022)</a> by targeting 3,482 fish species with complete mitogenomes.</li><li><strong>Minamoto_Simulate.tar.gz</strong>: taxonomy identification results from the standalone MiFish Pipeline on real and simulated data from samples from the Sagami River, Japan (<a href="https://doi.org/10.1371/journal.pone.0258073">Takasaki et al., 2021</a>).</li><li><strong>Teleo_and_Riaz.tar.gz</strong>: taxonomy identification results from the standalone MiFish Pipeline on sequencing data from samples from the pond in Linkebeek, Belgium (<a href="https://doi.org/10.1111/mec.15742">Brys et al., 2021</a>).</li><li><strong>refDB_19_Primers_insect.tsv.gz</strong>: a reference database for amplicons of 19 insect eDNA metabarcoding primers predicted using <a href="https://doi.org/10.1111/1755-0998.13741">CRABS v0.1.3 (Jeunen et al., 2022)</a> by targeting 4,484 insect species with complete mitogenomes. Note: three primers have no positive hits and are not included in the file.</li><li><strong>refDB_3_Primers_fungi.tsv.gz</strong>: a reference database for amplicons of three fungal eDNA metabarcoding primers predicted using <a href="https://doi.org/10.1111/1755-0998.13741">CRABS v0.1.3 (Jeunen et al., 2022)</a> by targeting 14,615 fungal species with ITS reference sequences.</li><li><strong>matrix.MultiBarcodePipeline.Result.Insect.xlsx</strong>: results produced by MultiBarcodePipeline using the command: multi-barcode refDB_19_Primers_insect.tsv -p cox1.mICOllintF_jgHC02198</li><li><strong>matrix.MultiBarcodePipeline.Result.Fungi.xlsx</strong>: results produced by MultiBarcodePipeline using the command: multi-barcode refDB_3_Primers_fungi.tsv</li><li><strong>msa.example.tar.gz</strong>: Full length sequences mentioned in Figure S5-S7</li></ul><p> </p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 0
Topics
Dataset details
- Repository
- zenodo
- Published
- May 24, 2023
- License
- cc-by-4.0
- DOI
- 10.5281/zenodo.7969311
Scored with release 0.9.0
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