Dataset from Zenodo · Curd, Emily E.
Data from: Anacapa Toolkit: an environmental DNA toolkit for processing multilocus metabarcode datasets
- License
- CC0 1.0commercial use allowedLicense text
- This license allows commercial use. Usually you must credit the author; read the license for the exact terms.
- Formats
- ZIP
- Size
- 1.4 GB
- Updated
- Jun 1, 2022
Description
1. Environmental DNA (eDNA) metabarcoding is a promising method to monitor species and community diversity that is rapid, affordable, and non-invasive. Longstanding needs of the eDNA community are modular informatics tools, comprehensive and customizable reference databases, flexibility across high-throughput sequencing platforms, fast multilocus metabarcode processing, and accurate taxonomic assignment. As bioinformatics tools continue to improve, addressing each of these demands within a single bioinformatics toolkit is becoming a reality. 2. Here we present an open access modular metabarcode sequence toolkit, Anacapa (https://github.com/limey-bean/Anacapa/), that addresses the above needs, allowing users to build comprehensive reference databases and process raw multilocus metabarcode sequence data to accurately characterize communities. A novel aspect of Anacapa is our database builder, Creating Reference libraries Using eXisting tools (CRUX), that generates comprehensive reference databases for specific user-defined metabarcode loci. The Quality Control and Dereplication module sorts and processes multiple metabarcode loci and processe merged, unmerged and unpaired reads…
Description from Zenodo, shortened.
Files (16)
- ZIPV4_18S.zip33 MB
- ZIPR-WITS.zip5 MB
- ZIP16S.zip177 MB
- ZIPR-P-H.zip166 MB
- ZIP12S.zip8.5 MB
- ZIPAnacapa.zip73 MB
- ZIPR-mitofish.zip3.5 MB
- ZIPFITS.zip86 MB
- ZIPV8-9_18S.zip24 MB
- ZIPR-CO-ARBitrator.zip225 MB
- ZIPPITS.zip57 MB
- ZIP18S.zip17 MB
- ZIPCRUX_Creating-Reference-libraries-Using-eXisting-tools.zip3.2 MB
- ZIPR_UNITE.zip13 MB
- ZIPCO1.zip484 MB
- ZIPR-Midori.zip24 MB
DataHunter does not store or host these files: every link leads to the original source. Check the license there before using the data.