From the research index
The paper comes from the research index. It wasn’t submitted here.
Dataset
SH0977458.10FU
Urmas Kõljalg, Kessy Abarenkov, R. Henrik Nilsson and 9 others
Plutof. Data Management and Publishing Platform7 Feb 2024Open access
SH0977458.10FU
Urmas Kõljalg, Kessy Abarenkov, R. Henrik Nilsson and 9 others · Plutof. Data Management and Publishing Platform · 7 Feb 2024
Abstract
The full text is at the publisher
You can read the abstract here, or open it at the publisher.
UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
Identifiers
- NobleID
- NI8P86W95R19S99
Discussion
Citations
Topics
Details
- Authors
- Urmas Kõljalg, Kessy Abarenkov, R. Henrik Nilsson, Karl-Henrik Larsson, Tom W. May, A.F.S. Taylor, Tobias G. Frøslev, Julia Pawłowska, Björn Lindahl, Matthew E. Smith, Mary Berbee, Kadri Põldmaa
- Published
- 7 Feb 2024
- Language
- EN